feat: run tool button

.ci/integration.cloudbuild.yaml

@@ -62,6 +62,7 @@ steps:
           postgressql \
           postgresexecutesql
 
+
   - id: "alloydb-pg"
     name: golang:1
     waitFor: ["compile-test-binary"]
@@ -120,7 +121,8 @@ steps:
       - "BIGTABLE_PROJECT=$PROJECT_ID"
       - "BIGTABLE_INSTANCE=$_BIGTABLE_INSTANCE"
       - "SERVICE_ACCOUNT_EMAIL=$SERVICE_ACCOUNT_EMAIL"
-    secretEnv: ["CLIENT_ID"]
+    secretEnv:
+      ["CLIENT_ID"]
     volumes:
       - name: "go"
         path: "/gopath"
@@ -152,26 +154,6 @@ steps:
           bigquery \
           bigquery
 
-  - id: "dataplex"
-    name: golang:1
-    waitFor: ["compile-test-binary"]
-    entrypoint: /bin/bash
-    env:
-      - "GOPATH=/gopath"
-      - "DATAPLEX_PROJECT=$PROJECT_ID"
-      - "SERVICE_ACCOUNT_EMAIL=$SERVICE_ACCOUNT_EMAIL"
-    secretEnv: ["CLIENT_ID"]
-    volumes:
-      - name: "go"
-        path: "/gopath"
-    args:
-      - -c
-      - |
-        .ci/test_with_coverage.sh \
-          "Dataplex" \
-          dataplex \
-          dataplex
-
   - id: "postgres"
     name: golang:1
     waitFor: ["compile-test-binary"]
@@ -272,7 +254,8 @@ steps:
       - "CLOUD_SQL_MYSQL_DATABASE=$_DATABASE_NAME"
       - "CLOUD_SQL_MYSQL_REGION=$_REGION"
       - "SERVICE_ACCOUNT_EMAIL=$SERVICE_ACCOUNT_EMAIL"
-    secretEnv: ["CLOUD_SQL_MYSQL_USER", "CLOUD_SQL_MYSQL_PASS", "CLIENT_ID"]
+    secretEnv:
+      ["CLOUD_SQL_MYSQL_USER", "CLOUD_SQL_MYSQL_PASS", "CLIENT_ID"]
     volumes:
       - name: "go"
         path: "/gopath"
@@ -384,7 +367,7 @@ steps:
           sqlite
 
   - id: "couchbase"
-    name: golang:1
+    name : golang:1
     waitFor: ["compile-test-binary"]
     entrypoint: /bin/bash
     env:
@@ -392,8 +375,7 @@ steps:
       - "COUCHBASE_SCOPE=$_COUCHBASE_SCOPE"
       - "COUCHBASE_BUCKET=$_COUCHBASE_BUCKET"
       - "SERVICE_ACCOUNT_EMAIL=$SERVICE_ACCOUNT_EMAIL"
-    secretEnv:
-      ["COUCHBASE_CONNECTION", "COUCHBASE_USER", "COUCHBASE_PASS", "CLIENT_ID"]
+    secretEnv: ["COUCHBASE_CONNECTION", "COUCHBASE_USER", "COUCHBASE_PASS", "CLIENT_ID"]
     volumes:
       - name: "go"
         path: "/gopath"
@@ -406,7 +388,7 @@ steps:
           couchbase
 
   - id: "redis"
-    name: golang:1
+    name : golang:1
     waitFor: ["compile-test-binary"]
     entrypoint: /bin/bash
     env:
@@ -423,9 +405,9 @@ steps:
           "Redis" \
           redis \
           redis
-
+        
   - id: "valkey"
-    name: golang:1
+    name : golang:1
     waitFor: ["compile-test-binary"]
     entrypoint: /bin/bash
     env:
@@ -443,115 +425,7 @@ steps:
           "Valkey" \
           valkey \
           valkey
-
-  - id: "oceanbase"
-    name: golang:1
-    waitFor: ["compile-test-binary"]
-    entrypoint: /bin/bash
-    env:
-      - "GOPATH=/gopath"
-      - "OCEANBASE_PORT=$_OCEANBASE_PORT"
-      - "OCEANBASE_DATABASE=$_OCEANBASE_DATABASE"
-      - "SERVICE_ACCOUNT_EMAIL=$SERVICE_ACCOUNT_EMAIL"
-    secretEnv: ["CLIENT_ID", "OCEANBASE_HOST", "OCEANBASE_USER", "OCEANBASE_PASSWORD"]
-    volumes:
-      - name: "go"
-        path: "/gopath"
-    args:
-      - -c
-      - |
-        .ci/test_with_coverage.sh \
-          "OceanBase" \
-          oceanbase \
-          oceanbase
-          
-  - id: "firestore"
-    name: golang:1
-    waitFor: ["compile-test-binary"]
-    entrypoint: /bin/bash
-    env:
-      - "GOPATH=/gopath"
-      - "FIRESTORE_PROJECT=$PROJECT_ID"
-      - "SERVICE_ACCOUNT_EMAIL=$SERVICE_ACCOUNT_EMAIL"
-    secretEnv: ["CLIENT_ID"]
-    volumes:
-      - name: "go"
-        path: "/gopath"
-    args:
-      - -c
-      - |
-        .ci/test_with_coverage.sh \
-          "Firestore" \
-          firestore \
-          firestore
-
-  - id: "looker"
-    name: golang:1
-    waitFor: ["compile-test-binary"]
-    entrypoint: /bin/bash
-    env:
-      - "GOPATH=/gopath"
-      - "FIRESTORE_PROJECT=$PROJECT_ID"
-      - "SERVICE_ACCOUNT_EMAIL=$SERVICE_ACCOUNT_EMAIL"
-      - "LOOKER_VERIFY_SSL=$_LOOKER_VERIFY_SSL"
-    secretEnv:
-      [
-        "CLIENT_ID",
-        "LOOKER_BASE_URL",
-        "LOOKER_CLIENT_ID",
-        "LOOKER_CLIENT_SECRET",
-      ]
-    volumes:
-      - name: "go"
-        path: "/gopath"
-    args:
-      - -c
-      - |
-        .ci/test_with_coverage.sh \
-          "Looker" \
-          looker \
-          looker
-
-  - id: "alloydbwaitforoperation"
-    name: golang:1
-    waitFor: ["compile-test-binary"]
-    entrypoint: /bin/bash
-    env:
-      - "GOPATH=/gopath"
-      - "API_KEY=$(gcloud auth print-access-token)"
-    secretEnv: ["CLIENT_ID"]
-    volumes:
-      - name: "go"
-        path: "/gopath"
-    args:
-      - -c
-      - |
-        .ci/test_with_coverage.sh \
-          "Alloydb Wait for Operation" \
-          utility \
-          utility/alloydbwaitforoperation
-
-  - id: "tidb"
-    name: golang:1
-    waitFor: ["compile-test-binary"]
-    entrypoint: /bin/bash
-    env:
-      - "GOPATH=/gopath"
-      - "TIDB_DATABASE=$_DATABASE_NAME"
-      - "TIDB_HOST=$_TIDB_HOST"
-      - "TIDB_PORT=$_TIDB_PORT"
-      - "SERVICE_ACCOUNT_EMAIL=$SERVICE_ACCOUNT_EMAIL"
-    secretEnv: ["CLIENT_ID", "TIDB_USER", "TIDB_PASS"]
-    volumes:
-      - name: "go"
-        path: "/gopath"
-    args:
-      - -c
-      - |
-        .ci/test_with_coverage.sh \
-          "TiDB" \
-          tidb \
-          tidbsql tidbexecutesql
+    
 
 availableSecrets:
   secretManager:
@@ -605,22 +479,7 @@ availableSecrets:
       env: REDIS_PASS
     - versionName: projects/$PROJECT_ID/secrets/memorystore_valkey_address/versions/latest
       env: VALKEY_ADDRESS
-    - versionName: projects/$PROJECT_ID/secrets/looker_base_url/versions/latest
-      env: LOOKER_BASE_URL
-    - versionName: projects/$PROJECT_ID/secrets/looker_client_id/versions/latest
-      env: LOOKER_CLIENT_ID
-    - versionName: projects/$PROJECT_ID/secrets/looker_client_secret/versions/latest
-      env: LOOKER_CLIENT_SECRET
-    - versionName: projects/$PROJECT_ID/secrets/tidb_user/versions/latest
-      env: TIDB_USER
-    - versionName: projects/$PROJECT_ID/secrets/tidb_pass/versions/latest
-      env: TIDB_PASS
-    - versionName: projects/$PROJECT_ID/secrets/oceanbase_host/versions/latest
-      env: OCEANBASE_HOST
-    - versionName: projects/$PROJECT_ID/secrets/oceanbase_user/versions/latest
-      env: OCEANBASE_USER
-    - versionName: projects/$PROJECT_ID/secrets/oceanbase_pass/versions/latest
-      env: OCEANBASE_PASSWORD
+
 
 options:
   logging: CLOUD_LOGGING_ONLY
@@ -651,9 +510,4 @@ substitutions:
   _MSSQL_PORT: "1433"
   _DGRAPHURL: "https://play.dgraph.io"
   _COUCHBASE_BUCKET: "couchbase-bucket"
-  _COUCHBASE_SCOPE: "couchbase-scope"
-  _LOOKER_VERIFY_SSL: "true"
-  _TIDB_HOST: 127.0.0.1
-  _TIDB_PORT: "4000"
-  _OCEANBASE_PORT: "2883"
-  _OCEANBASE_DATABASE: "oceanbase"
+  _COUCHBASE_SCOPE: "couchbase-scope"

.ci/test_with_coverage.sh

@@ -2,10 +2,8 @@
 
 # Arguments:
 # $1: Display name for logs (e.g., "Cloud SQL Postgres")
-# $2: Integration test's package name (e.g., cloudsqlpg)
-# $3, $4, ...: Tool package names for grep (e.g., postgressql), if the
-# integration test specifically check a separate package inside a folder, please
-# specify the full path instead (e.g., postgressql/postgresexecutesql)
+# $2: Source package name (e.g., cloudsqlpg)
+# $3, $4, ...: Tool package names for grep (e.g., postgressql)
 
 DISPLAY_NAME="$1"
 SOURCE_PACKAGE_NAME="$2"
@@ -59,4 +57,4 @@ if awk -v coverage="$coverage_numeric" 'BEGIN {exit !(coverage < 50)}'; then
     exit 1
 else
     echo "Coverage for ${DISPLAY_NAME} is sufficient."
-fi
+fi

.github/PULL_REQUEST_TEMPLATE.md

@@ -1,21 +0,0 @@
-## Description
----
-> Should include a concise description of the changes (bug or feature), it's
-> impact, along with a summary of the solution
-
-## PR Checklist
----
-> Thank you for opening a Pull Request! Before submitting your PR, there are a
-> few things you can do to make sure it goes smoothly:
-- [ ] Make sure you reviewed
-  [CONTRIBUTING.md](https://github.com/googleapis/genai-toolbox/blob/main/CONTRIBUTING.md)
-- [ ] Make sure to open an issue as a
-  [bug/issue](https://github.com/googleapis/langchain-google-alloydb-pg-python/issues/new/choose)
-  before writing your code!  That way we can discuss the change, evaluate
-  designs, and agree on the general idea
-- [ ] Ensure the tests and linter pass
-- [ ] Code coverage does not decrease (if any source code was changed)
-- [ ] Appropriate docs were updated (if necessary)
-- [ ] Make sure to add `!` if this involve a breaking change
-
-🛠️ Fixes #<issue_number_goes_here>

.github/blunderbuss.yml

@@ -1,7 +1,7 @@
 assign_issues:
+  - kurtisvg
   - Yuan325
   - duwenxin99
-  - averikitsch
 assign_issues_by:
   - labels:
     - 'product: bigquery'
@@ -10,6 +10,6 @@ assign_issues_by:
     - shobsi
     - jiaxunwu
 assign_prs:
+  - kurtisvg
   - Yuan325
   - duwenxin99
-  - averikitsch

.github/labels.yaml

@@ -50,7 +50,7 @@
   color: ffffc7
   description: Desirable enhancement or fix. May not be included in next release.
 
-- name: 'do not merge'
+- name: do not merge
   color: d93f0b
   description: Indicates a pull request not ready for merge, due to either quality
     or timing.
@@ -65,30 +65,28 @@
   color: ededed
   description: Release please has completed a release for this.
 
-- name: 'blunderbuss: assign'
-  color: 3DED97
-  description: Have blunderbuss assign this to someone new.
-
 - name: 'tests: run'
   color: 3DED97
   description: Label to trigger Github Action tests.
-  
+
 - name: 'docs: deploy-preview'
   color: BFDADC
   description: Label to trigger Github Action docs preview.
 
-- name: 'status: help wanted'
+- name: 'status: contribution welcome'
   color: 8befd7
-  description: 'Status: Unplanned work open to contributions from the community.'
-- name: 'status: feedback wanted'
-  color: 8befd7
-  description: 'Status: waiting for feedback from community or issue author.'
+  description: Status - Contributions welcome.
 
-- name: 'status: waiting for response'
+- name: 'status: awaiting response'
   color: 8befd7
-  description: 'Status: reviewer is awaiting feedback or responses from the author before proceeding.'
+  description: Status - Awaiting response from author.
+
+- name: 'status: awaiting codeowners'
+  color: 8befd7
+  description: Status - Awaiting response from code owners.
 
 # Product Labels
 - name: 'product: bigquery'
   color: 5065c7
-  description: 'Product: Assigned to the BigQuery team.'
+  description: Product - Assigned to the BigQuery team. 
+

.github/release-please.yml

@@ -18,28 +18,18 @@ releaseType: simple
 versionFile: "cmd/version.txt"
 extraFiles: [
     "README.md",
-    "docs/en/getting-started/colab_quickstart.ipynb",
     "docs/en/getting-started/introduction/_index.md",
     "docs/en/getting-started/local_quickstart.md",
-    "docs/en/getting-started/local_quickstart_js.md",
-    "docs/en/getting-started/local_quickstart_go.md",
     "docs/en/getting-started/mcp_quickstart/_index.md",
-    "docs/en/samples/alloydb/_index.md",
     "docs/en/samples/bigquery/local_quickstart.md",
     "docs/en/samples/bigquery/mcp_quickstart/_index.md",
+    "docs/en/getting-started/colab_quickstart.ipynb",
     "docs/en/samples/bigquery/colab_quickstart_bigquery.ipynb",
-    "docs/en/samples/looker/looker_gemini.md",
-    "docs/en/samples/looker/looker_mcp_inspector.md",
-    "docs/en/how-to/connect-ide/alloydb_pg_mcp.md",
-    "docs/en/how-to/connect-ide/alloydb_pg_admin_mcp.md",
     "docs/en/how-to/connect-ide/bigquery_mcp.md",
-    "docs/en/how-to/connect-ide/cloud_sql_pg_mcp.md",
-    "docs/en/how-to/connect-ide/cloud_sql_mssql_mcp.md",
-    "docs/en/how-to/connect-ide/cloud_sql_mysql_mcp.md",
-    "docs/en/how-to/connect-ide/firestore_mcp.md",
-    "docs/en/how-to/connect-ide/looker_mcp.md",
-    "docs/en/how-to/connect-ide/mysql_mcp.md",
-    "docs/en/how-to/connect-ide/mssql_mcp.md",
-    "docs/en/how-to/connect-ide/postgres_mcp.md",
     "docs/en/how-to/connect-ide/spanner_mcp.md",
+    "docs/en/how-to/connect-ide/alloydb_pg_mcp.md",
+    "docs/en/how-to/connect-ide/cloud_sql_mysql_mcp.md",
+    "docs/en/how-to/connect-ide/cloud_sql_pg_mcp.md",
+    "docs/en/how-to/connect-ide/postgres_mcp.md",
+    "docs/en/how-to/connect-ide/cloud_sql_mssql_mcp.md",
 ]

.github/workflows/docs_deploy.yaml

@@ -39,7 +39,7 @@ jobs:
       group: ${{ github.workflow }}-${{ github.ref }}
       cancel-in-progress: true
     steps:
-      - uses: actions/checkout@08c6903cd8c0fde910a37f88322edcfb5dd907a8 # v5
+      - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4
         with:
           fetch-depth: 0 # Fetch all history for .GitInfo and .Lastmod
 
@@ -55,7 +55,7 @@ jobs:
           node-version: "22"
 
       - name: Cache dependencies
-        uses: actions/cache@0400d5f644dc74513175e3cd8d07132dd4860809 # v4
+        uses: actions/cache@5a3ec84eff668545956fd18022155c47e93e2684 # v4
         with:
           path: ~/.npm
           key: ${{ runner.os }}-node-${{ hashFiles('**/package-lock.json') }}

.github/workflows/docs_preview_clean.yaml

@@ -34,7 +34,7 @@ jobs:
       group: "preview-${{ github.event.number }}"
       cancel-in-progress: true
     steps:
-      - uses: actions/checkout@08c6903cd8c0fde910a37f88322edcfb5dd907a8 # v5
+      - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4
         with:
           ref: gh-pages
 

.github/workflows/docs_preview_deploy.yaml

@@ -49,9 +49,8 @@ jobs:
       group: "preview-${{ github.event.number }}"
       cancel-in-progress: true
     steps:
-      - uses: actions/checkout@08c6903cd8c0fde910a37f88322edcfb5dd907a8 # v5
+      - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4
         with:
-          # Checkout the PR's HEAD commit (supports forks).
           ref: ${{ github.event.pull_request.head.sha }}
           fetch-depth: 0 # Fetch all history for .GitInfo and .Lastmod
 
@@ -67,7 +66,7 @@ jobs:
           node-version: "22"
 
       - name: Cache dependencies
-        uses: actions/cache@0400d5f644dc74513175e3cd8d07132dd4860809 # v4
+        uses: actions/cache@5a3ec84eff668545956fd18022155c47e93e2684 # v4
         with:
           path: ~/.npm
           key: ${{ runner.os }}-node-${{ hashFiles('**/package-lock.json') }}

.github/workflows/lint.yaml

@@ -55,7 +55,7 @@ jobs:
         with:
           go-version: "1.22"
       - name: Checkout code
-        uses: actions/checkout@08c6903cd8c0fde910a37f88322edcfb5dd907a8 # v5.0.0
+        uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
         with:
           ref: ${{ github.event.pull_request.head.sha }}
           repository: ${{ github.event.pull_request.head.repo.full_name }}

.github/workflows/schedule_reporter.yml

@@ -26,4 +26,4 @@ jobs:
         contents: 'read'
     uses: ./.github/workflows/cloud_build_failure_reporter.yml
     with:
-      trigger_names: "toolbox-test-nightly,toolbox-test-on-merge,toolbox-continuous-release"
+      trigger_names: "toolbox-test-nightly,toolbox-test-on-merge"

.github/workflows/sync-labels.yaml

@@ -29,7 +29,7 @@ jobs:
       issues: 'write'
       pull-requests: 'write'
     steps:
-      - uses: actions/checkout@08c6903cd8c0fde910a37f88322edcfb5dd907a8 # v5.0.0
+      - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
       - uses: micnncim/action-label-syncer@3abd5ab72fda571e69fffd97bd4e0033dd5f495c # v1.3.0
         env:
           GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}

.github/workflows/tests.yaml

@@ -62,7 +62,7 @@ jobs:
           go-version: "1.22"
 
       - name: Checkout code
-        uses: actions/checkout@08c6903cd8c0fde910a37f88322edcfb5dd907a8 # v5.0.0
+        uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
         with:
           ref: ${{ github.event.pull_request.head.sha }}
           repository: ${{ github.event.pull_request.head.repo.full_name }}

.gitignore

@@ -4,9 +4,6 @@
 # vscode
 .vscode/
 
-# idea
-.idea/
-
 # npm
 node_modules
 
@@ -17,7 +14,3 @@ node_modules
 
 # coverage
 .coverage
-
-# executable
-genai-toolbox
-toolbox

.hugo/layouts/shortcodes/include.html

@@ -1,2 +0,0 @@
-{{ $file := .Get 0 }}
-{{ (printf "%s%s" .Page.File.Dir $file) | readFile | replaceRE "^---[\\s\\S]+?---" "" | safeHTML }}

.hugo/layouts/shortcodes/snippet.html

@@ -1,49 +0,0 @@
-{{/*
-  snippet.html
-  Usage:
-    {{< snippet "filename.md" "region_name" >}}
-    {{< snippet "filename.python" "region_name" "python" >}}
-*/}}
-
-{{ $file := .Get 0 }}
-{{ $region := .Get 1 }}
-{{ $lang := .Get 2 | default "text" }}
-{{ $path := printf "%s%s" .Page.File.Dir $file }}
-
-{{ if or (not $file) (eq $file "") }}
-  {{ errorf "The file parameter (first argument) is required and must be non-empty in %s" .Page.File.Path }}
-{{ end }}
-{{ if or (not $region) (eq $region "") }}
-  {{ errorf "The region parameter (second argument) is required and must be non-empty in %s" .Page.File.Path }}
-{{ end }}
-{{ if not (fileExists $path) }}
-  {{ errorf "File %q not found (referenced in %s)" $path .Page.File.Path }}
-{{ end }}
-
-{{ $content := readFile $path }}
-{{ $start_tag := printf "[START %s]" $region }}
-{{ $end_tag := printf "[END %s]" $region }}
-
-{{ $snippet := "" }}
-{{ $in_snippet := false }}
-{{ range split $content "\n" }}
-  {{ if $in_snippet }}
-    {{ if in . $end_tag }}
-      {{ $in_snippet = false }}
-    {{ else }}
-      {{ $snippet = printf "%s%s\n" $snippet . }}
-    {{ end }}
-  {{ else if in . $start_tag }}
-    {{ $in_snippet = true }}
-  {{ end }}
-{{ end }}
-
-{{ if eq (trim $snippet "") "" }}
-  {{ errorf "Region %q not found or empty in file %s (referenced in %s)" $region $file .Page.File.Path }}
-{{ end }}
-
-{{ if eq $lang "text" }}
-  {{ $snippet | markdownify }}
-{{ else }}
-  {{ highlight (trim $snippet "\n") $lang "" }}
-{{ end }}

CHANGELOG.md

@@ -1,105 +1,5 @@
 # Changelog
 
-## [0.12.0](https://github.com/googleapis/genai-toolbox/compare/v0.11.0...v0.12.0) (2025-08-14)
-
-
-### Features
-
-* **prebuiltconfig:** Introduce additional parameter to limit context in list_tables ([#1151](https://github.com/googleapis/genai-toolbox/issues/1151)) ([497d3b1](https://github.com/googleapis/genai-toolbox/commit/497d3b126da252a4b59806ca2ca3c56e78efc13d))
-* **prebuiltconfig/alloydb-admin:** Add list cluster, instance and users ([#1126](https://github.com/googleapis/genai-toolbox/issues/1126)) ([b42c139](https://github.com/googleapis/genai-toolbox/commit/b42c139158650fb1f3b696965e840c52e2016bf0))
-* **prebuiltconfig/alloydb-admin:** Add tool to create user via Built in user type or IAM ([#1130](https://github.com/googleapis/genai-toolbox/issues/1130)) ([f5bcb9c](https://github.com/googleapis/genai-toolbox/commit/f5bcb9c755a2c1747d0beeda568b6217d7420e7a))
-* **source/http:** Add User Agent to `http` invocations ([#1102](https://github.com/googleapis/genai-toolbox/issues/1102)) ([6f55b78](https://github.com/googleapis/genai-toolbox/commit/6f55b78e96b8c7aa9aca601cfae4d62f3e1eb42b))
-* **sources/postgres:** Add support for `queryParams` ([#1047](https://github.com/googleapis/genai-toolbox/issues/1047)) ([7b57251](https://github.com/googleapis/genai-toolbox/commit/7b5725140279de21fece45e860945b7a7d23e7d0)), closes [#963](https://github.com/googleapis/genai-toolbox/issues/963)
-* **tools/bigquery-execute-sql:** Add dry run support ([#1057](https://github.com/googleapis/genai-toolbox/issues/1057)) ([1cac9b5](https://github.com/googleapis/genai-toolbox/commit/1cac9b5b378153c7dc65ff3dfb4ebd852b715a10))
-* **tools/dataplex-search-aspect-types:** Add support for `dataplex-search-aspect-types` tool ([#1061](https://github.com/googleapis/genai-toolbox/issues/1061)) ([d940187](https://github.com/googleapis/genai-toolbox/commit/d940187c851666cc201f519665fb4f2e1478465c))
-* **tools/looker:** Add `looker-make-look` tool to create Looks ([#1099](https://github.com/googleapis/genai-toolbox/issues/1099)) ([61d9489](https://github.com/googleapis/genai-toolbox/commit/61d94893448f633a5f2b9d7f0744ab40704af824))
-* **tools/looker:** Add visualizations to `query-url` tool ([#1090](https://github.com/googleapis/genai-toolbox/issues/1090)) ([5bf2758](https://github.com/googleapis/genai-toolbox/commit/5bf275846a268a8d305d6392fa4e8e79e365f00d))
-* **tools/looker:** New Looker tools for dashboards ([#1118](https://github.com/googleapis/genai-toolbox/issues/1118)) ([42be3f5](https://github.com/googleapis/genai-toolbox/commit/42be3f550ceab34baf43fe2a246ded7a09cff8e3))
-* **ui:** Add login with google button for automatic id token retrieval ([#1044](https://github.com/googleapis/genai-toolbox/issues/1044)) ([d91bdfc](https://github.com/googleapis/genai-toolbox/commit/d91bdfcbdcbf5fcae6e17770c88c5ffba4115d67))
-
-
-### Bug Fixes
-
-* Correct the capitalization of `map` manifests ([#1139](https://github.com/googleapis/genai-toolbox/issues/1139)) ([0b0457c](https://github.com/googleapis/genai-toolbox/commit/0b0457c8e6b78f53a2f1929c05d46fb31421fbca))
-* Remove unnecessary fields from `map` parameter manifests ([#1138](https://github.com/googleapis/genai-toolbox/issues/1138)) ([fbe8c1a](https://github.com/googleapis/genai-toolbox/commit/fbe8c1a9c0f28797443bf9cb32d63bfbc1072881))
-* **tools/looker:** Add authorized invocation feature to all Looker tools ([#1091](https://github.com/googleapis/genai-toolbox/issues/1091)) ([3b1cce7](https://github.com/googleapis/genai-toolbox/commit/3b1cce72e7ff4f6b3a0a31db0564dc45b8302caa))
-* Update ui info log to reflect port ([#1125](https://github.com/googleapis/genai-toolbox/issues/1125)) ([6d691d5](https://github.com/googleapis/genai-toolbox/commit/6d691d582f18137de504d39f372c5104b7392bff))
-
-## [0.11.0](https://github.com/googleapis/genai-toolbox/compare/v0.11.0...v0.11.0) (2025-08-05)
-
-
-### ⚠ BREAKING CHANGES
-
-* **tools/bigquery-sql:** Ensure invoke always returns a non-null value ([#1020](https://github.com/googleapis/genai-toolbox/issues/1020)) ([9af55b6](https://github.com/googleapis/genai-toolbox/commit/9af55b651d836f268eda342ea27380e7c9967c94))
-* **tools/bigquery-execute-sql:** Update the return messages ([#1034](https://github.com/googleapis/genai-toolbox/issues/1034)) ([051e686](https://github.com/googleapis/genai-toolbox/commit/051e686476a781ca49f7617764d507916a1188b8))
-
-### Features
-
-* Add TiDB source and tool ([#829](https://github.com/googleapis/genai-toolbox/issues/829)) ([6eaf36a](https://github.com/googleapis/genai-toolbox/commit/6eaf36ac8505d523fa4f5a4ac3c97209fd688cef))
-* Interactive web UI for Toolbox  ([#1065](https://github.com/googleapis/genai-toolbox/issues/1065)) ([8749b03](https://github.com/googleapis/genai-toolbox/commit/8749b030035e65361047c4ead13dfacb8e9a9b59))
-* **prebuiltconfigs/cloud-sql-postgres:** Introduce additional parameter to limit context in list tables ([#1062](https://github.com/googleapis/genai-toolbox/issues/1062)) ([c3a58e1](https://github.com/googleapis/genai-toolbox/commit/c3a58e1d1678dc14d8de5006511df597fd75faa3))
-* **tools/looker-query-url:** Add support for `looker-query-url` tool ([#1015](https://github.com/googleapis/genai-toolbox/issues/1015)) ([327ddf0](https://github.com/googleapis/genai-toolbox/commit/327ddf0439058aa5ecd2c7ae8251fcde6aeff18c))
-* **tools/dataplex-lookup-entry:** Add support for `dataplex-lookup-entry` tool ([#1009](https://github.com/googleapis/genai-toolbox/issues/1009)) ([5fa1660](https://github.com/googleapis/genai-toolbox/commit/5fa1660fc8631989b4d13abea205b6426bb506a5))
-
-### Bug Fixes
-
-* **tools/bigquery,mssql,mysql,postgres,spanner,tidb:** Add query logging to execute-sql tools ([#1069](https://github.com/googleapis/genai-toolbox/issues/1069)) ([0527532]([https://github.com/googleapis/genai-toolbox/commit/0527532bd7085ef9eb8f9c30f430a2f2f35cef32))
-
-## [0.10.0](https://github.com/googleapis/genai-toolbox/compare/v0.9.0...v0.10.0) (2025-07-25)
-
-
-### Features
-
-* Add `Map` parameters support ([#928](https://github.com/googleapis/genai-toolbox/issues/928)) ([4468bc9](https://github.com/googleapis/genai-toolbox/commit/4468bc920bbf27dce4ab160197587b7c12fcd20f))
-* Add Dataplex source and tool ([#847](https://github.com/googleapis/genai-toolbox/issues/847)) ([30c16a5](https://github.com/googleapis/genai-toolbox/commit/30c16a559e8d49a9a717935269e69b97ec25519a))
-* Add Looker source and tool ([#923](https://github.com/googleapis/genai-toolbox/issues/923)) ([c67e01b](https://github.com/googleapis/genai-toolbox/commit/c67e01bcf998e7b884be30ebb1fd277c89ed6ffc))
-* Add support for null optional parameter ([#802](https://github.com/googleapis/genai-toolbox/issues/802)) ([a817b12](https://github.com/googleapis/genai-toolbox/commit/a817b120ca5e09ce80eb8d7544ebbe81fc28b082)), closes [#736](https://github.com/googleapis/genai-toolbox/issues/736)
-* **prebuilt/alloydb-admin-config:** Add alloydb control plane as a prebuilt config ([#937](https://github.com/googleapis/genai-toolbox/issues/937)) ([0b28b72](https://github.com/googleapis/genai-toolbox/commit/0b28b72aa0ca2cdc87afbddbeb7f4dbb9688593d))
-* **prebuilt/mysql,prebuilt/mssql:** Add generic mysql and mssql prebuilt tools ([#983](https://github.com/googleapis/genai-toolbox/issues/983)) ([c600c30](https://github.com/googleapis/genai-toolbox/commit/c600c30374443b6106c1f10b60cd334fd202789b))
-* **server/mcp:** Support MCP version 2025-06-18 ([#898](https://github.com/googleapis/genai-toolbox/issues/898)) ([313d3ca](https://github.com/googleapis/genai-toolbox/commit/313d3ca0d084a3a6e7ac9a21a862aa31bf3edadd))
-* **sources/mssql:** Add support for encrypt connection parameter ([#874](https://github.com/googleapis/genai-toolbox/issues/874)) ([14a868f](https://github.com/googleapis/genai-toolbox/commit/14a868f2a0780b94c2ca104419b2ff098778303b))
-* **sources/firestore:** Add Firestore as Source ([#786](https://github.com/googleapis/genai-toolbox/issues/786)) ([2bb790e](https://github.com/googleapis/genai-toolbox/commit/2bb790e4f8194b677fe0ba40122d409d0e3e687e))
-* **sources/mongodb:** Add MongoDB Source ([#969](https://github.com/googleapis/genai-toolbox/issues/969)) ([74dbd61](https://github.com/googleapis/genai-toolbox/commit/74dbd6124daab6192dd880dbd1d15f36861abf74))
-* **tools/alloydb-wait-for-operation:** Add wait for operation tool with exponential backoff ([#920](https://github.com/googleapis/genai-toolbox/issues/920)) ([3f6ec29](https://github.com/googleapis/genai-toolbox/commit/3f6ec2944ede18ee02b10157cc048145bdaec87a))
-* **tools/mongodb-aggregate:** Add MongoDB `aggregate` Tools ([#977](https://github.com/googleapis/genai-toolbox/issues/977)) ([bd399bb](https://github.com/googleapis/genai-toolbox/commit/bd399bb0fb7134469345ed9a1111ea4209440867))
-* **tools/mongodb-delete:** Add MongoDB `delete` Tools ([#974](https://github.com/googleapis/genai-toolbox/issues/974)) ([78e9752](https://github.com/googleapis/genai-toolbox/commit/78e9752f620e065246f3e7b9d37062e492247c8a))
-* **tools/mongodb-find:** Add MongoDB `find` Tools ([#970](https://github.com/googleapis/genai-toolbox/issues/970)) ([a747475](https://github.com/googleapis/genai-toolbox/commit/a7474752d8d7ea7af1e80a3c4533d2fd4154d897))
-* **tools/mongodb-insert:** Add MongoDB `insert` Tools ([#975](https://github.com/googleapis/genai-toolbox/issues/975)) ([4c63f0c](https://github.com/googleapis/genai-toolbox/commit/4c63f0c1e402817a0c8fec611635e99290308d0e))
-* **tools/mongodb-update:** Add MongoDB `update` Tools ([#972](https://github.com/googleapis/genai-toolbox/issues/972)) ([dfde52c](https://github.com/googleapis/genai-toolbox/commit/dfde52ca9a8e25e2f3944f52b4c2e307072b6c37))
-* **tools/neo4j-execute-cypher:** Add neo4j-execute-cypher for Neo4j sources ([#946](https://github.com/googleapis/genai-toolbox/issues/946)) ([81d0505](https://github.com/googleapis/genai-toolbox/commit/81d05053b2e08338fd6eabe4849c309064f76b6b))
-* **tools/neo4j-schema:** Add neo4j-schema tool ([#978](https://github.com/googleapis/genai-toolbox/issues/978)) ([be7db3d](https://github.com/googleapis/genai-toolbox/commit/be7db3dff263625ce64fdb726e81164996b7a708))
-* **tools/wait:** Create wait for tool ([#885](https://github.com/googleapis/genai-toolbox/issues/885)) ([ed5ef4c](https://github.com/googleapis/genai-toolbox/commit/ed5ef4caea10ba1dbc49c0fc0a0d2b91cf341d3b))
-
-
-### Bug Fixes
-
-* Fix document preview pipeline for forked PRs ([#950](https://github.com/googleapis/genai-toolbox/issues/950)) ([481cc60](https://github.com/googleapis/genai-toolbox/commit/481cc608bae807d9e92497bc8863066916f7ef21))
-* **prebuilt/firestore:** Mark database field as required in the firestore prebuilt tools ([#959](https://github.com/googleapis/genai-toolbox/issues/959)) ([15417d4](https://github.com/googleapis/genai-toolbox/commit/15417d4e0c7b173e81edbbeb672e53884d186104))
-* **prebuilt/cloud-sql-mssql:** Correct source reference for execute_sql tool in cloud-sql-mssql.yaml prebuilt config ([#938](https://github.com/googleapis/genai-toolbox/issues/938)) ([d16728e](https://github.com/googleapis/genai-toolbox/commit/d16728e5c603eab37700876a6ddacbf709fd5823))
-* **prebuilt/cloud-sql-mysql:** Update list_table tool ([#924](https://github.com/googleapis/genai-toolbox/issues/924)) ([2083ba5](https://github.com/googleapis/genai-toolbox/commit/2083ba50483951e9ee6101bb832aa68823cd96a5))
-* Replace 'float' with 'number' in McpManifest ([#985](https://github.com/googleapis/genai-toolbox/issues/985)) ([59e23e1](https://github.com/googleapis/genai-toolbox/commit/59e23e17250a516e3931996114f32ac6526a4f8e))
-* **server/api:** Add logger to context in tool invoke handler ([#891](https://github.com/googleapis/genai-toolbox/issues/891)) ([8ce311f](https://github.com/googleapis/genai-toolbox/commit/8ce311f256481e8f11ecb4aa505b95a562f394ef))
-* **sources/looker:** Add agent tag to Looker API calls. ([#966](https://github.com/googleapis/genai-toolbox/issues/966)) ([f55dd6f](https://github.com/googleapis/genai-toolbox/commit/f55dd6fcd099f23bd89df62b268c4a53d16f3bac))
-* **tools/bigquery-execute-sql:** Ensure invoke always returns a non-null value ([#925](https://github.com/googleapis/genai-toolbox/issues/925)) ([9a55b80](https://github.com/googleapis/genai-toolbox/commit/9a55b804821a6ccfcd157bcfaee7e599c4a5cb63))
-* **tools/mysqlsql:** Unmarshal json data from database during invoke ([#979](https://github.com/googleapis/genai-toolbox/issues/979)) ([ccc3498](https://github.com/googleapis/genai-toolbox/commit/ccc3498cf0a4c43eb909e3850b9e6f582cd48f2a)), closes [#840](https://github.com/googleapis/genai-toolbox/issues/840)
-
-## [0.9.0](https://github.com/googleapis/genai-toolbox/compare/v0.8.0...v0.9.0) (2025-07-11)
-
-
-### Features
-
-* Dynamic reloading for toolbox config ([#800](https://github.com/googleapis/genai-toolbox/issues/800)) ([4c240ac](https://github.com/googleapis/genai-toolbox/commit/4c240ac3c961cd14738c998ba2d10d5235ef523e))
-* **sources/mysql:** Add queryTimeout support to MySQL source ([#830](https://github.com/googleapis/genai-toolbox/issues/830)) ([391cb5b](https://github.com/googleapis/genai-toolbox/commit/391cb5bfe845e554411240a1d9838df5331b25fa))
-* **tools/bigquery:** Add optional projectID parameter to bigquery tools ([#799](https://github.com/googleapis/genai-toolbox/issues/799)) ([c6ab74c](https://github.com/googleapis/genai-toolbox/commit/c6ab74c5dad53a0e7885a18438ab3be36b9b7cb3))
-
-
-### Bug Fixes
-
-* Cleanup unassigned err log ([#857](https://github.com/googleapis/genai-toolbox/issues/857)) ([c081ace](https://github.com/googleapis/genai-toolbox/commit/c081ace46bb24cb3fd2adb21d519489be0d3f3c3))
-* Fix docs preview deployment pipeline ([#787](https://github.com/googleapis/genai-toolbox/issues/787)) ([0a93b04](https://github.com/googleapis/genai-toolbox/commit/0a93b0482c8d3c64b324e67408d408f5576ecaf3))
-* **tools:** Nil parameter error when arrays are used ([#801](https://github.com/googleapis/genai-toolbox/issues/801)) ([2bdcc08](https://github.com/googleapis/genai-toolbox/commit/2bdcc0841ab37d18e2f0d6fe63fb6f10da3e302b))
-* Trigger reload on additional fsnotify operations ([#854](https://github.com/googleapis/genai-toolbox/issues/854)) ([aa8dbec](https://github.com/googleapis/genai-toolbox/commit/aa8dbec97095cf0d7ac771c8084a84e2d3d8ce4e))
-
 ## [0.8.0](https://github.com/googleapis/genai-toolbox/compare/v0.7.0...v0.8.0) (2025-07-02)
 
 

CONTRIBUTING.md

@@ -81,7 +81,7 @@ implementation](https://github.com/googleapis/genai-toolbox/blob/main/internal/s
 #### 2. Implement the New Tool
 
 We recommend looking at an [example tool
-implementation](https://github.com/googleapis/genai-toolbox/tree/main/internal/tools/postgres/postgressql).
+implementation](https://github.com/googleapis/genai-toolbox/tree/main/internal/tools/postgressql).
 
 * **Create a new directory** under `internal/tools` for your tool type (e.g.,
   `internal/tools/newdb` or `internal/tools/newdb<tool_name>`).
@@ -134,7 +134,7 @@ tools.
      5. (Optional) [RunToolInvokeWithTemplateParameters][temp-param]: tests for [template
             parameters][temp-param-doc]. Only run this test if template
             parameters apply to your tool.
-
+  
 * **Add the new database to the test config** in
   [integration.cloudbuild.yaml](.ci/integration.cloudbuild.yaml).
 
@@ -177,43 +177,6 @@ and data.
 
 #### 6. Submit a Pull Request
 
-Submit a pull request to the repository with your changes. Be sure to include a
-detailed description of your changes and any requests for long term testing
-resources.
-
-* **Title:** All pull request title should follow the formatting of
-  [Conventional 
-  Commit](https://www.conventionalcommits.org/) guidelines: `<type>[optional
-  scope]: description`. For example, if you are adding a new field in postgres
-  source, the title should be `feat(source/postgres): add support for
-  "new-field" field in postgres source`.
-  
-  Here are some commonly used `type` in this GitHub repo.
-
-  |     **type**    |                                **description**                                                        |
-  |-----------------|-------------------------------------------------------------------------------------------------------|
-  | Breaking Change | Anything with this type of a `!` after the type/scope introduces a breaking change.                   |
-  | feat            | Adding a new feature to the codebase.                                                                 |
-  | fix             | Fixing a bug or typo in the codebase. This does not include fixing docs.                              |
-  | test            | Changes made to test files.                                                                           |
-  | ci              | Changes made to the cicd configuration files or scripts.                                              |
-  | docs            | Documentation-related PRs, including fixes on docs.                                                   |
-  | chore           | Other small tasks or updates that don't fall into any of the above types.                             |
-  | refactor        | Change src code but unlike feat, there are no tests broke and no line lost coverage.                  |
-  | revert          | Revert changes made in another commit.                                                                |
-  | style           | Update src code, with only formatting and whitespace updates (e.g. code formatter or linter changes). |
-
-  Pull requests should always add scope whenever possible. The scope is
-  formatted as `<scope-type>/<scope-kind>` (e.g., `sources/postgres`, or
-  `tools/mssql-sql`).
-  
-  Ideally, **each PR covers only one scope**, if this is
-  inevitable, multiple scopes can be seaparated with a comma (e.g.
-  `sources/postgres,sources/alloydbpg`). If the PR covers multiple `scope-type`
-  (such as adding a new database), you can disregard the `scope-type`, e.g.
-  `feat(new-db): adding support for new-db source and tool`.
-
-* **PR Description:** PR description should **always** be included. It should
-  include a concise description of the changes, it's impact, along with a
-  summary of the solution. If the PR is related to a specific issue, the issue
-  number should be mentioned in the PR description (e.g. `Fixes #1`).
+* **Submit a pull request** to the repository with your changes. Be sure to
+  include a detailed description of your changes and any requests for long term
+  testing resources.

DEVELOPER.md

@@ -108,7 +108,7 @@ variables for each source.
 * AlloyDB - setup in the test project
   * AI Natural Language ([setup
     instructions](https://cloud.google.com/alloydb/docs/ai/use-natural-language-generate-sql-queries))
-    has been configured for `alloydb-ai-nl` tool tests
+    has been configured for `alloydb-a`-nl` tool tests
   * The Cloud Build service account is a user
 * Bigtable - setup in the test project
   * The Cloud Build service account is a user

README.md

@@ -2,9 +2,7 @@
 
 # MCP Toolbox for Databases
 
-[![Docs](https://img.shields.io/badge/docs-MCP_Toolbox-blue)](https://googleapis.github.io/genai-toolbox/)
-[![Discord](https://img.shields.io/badge/Discord-%235865F2.svg?style=flat&logo=discord&logoColor=white)](https://discord.gg/Dmm69peqjh)
-[![Medium](https://img.shields.io/badge/Medium-12100E?style=flat&logo=medium&logoColor=white)](https://medium.com/@mcp_toolbox)
+[![Discord](https://img.shields.io/badge/Discord-%235865F2.svg?style=for-the-badge&logo=discord&logoColor=white)](https://discord.gg/Dmm69peqjh)
 [![Go Report Card](https://goreportcard.com/badge/github.com/googleapis/genai-toolbox)](https://goreportcard.com/report/github.com/googleapis/genai-toolbox)
 
 > [!NOTE]
@@ -40,7 +38,6 @@ documentation](https://googleapis.github.io/genai-toolbox/).
   - [Toolsets](#toolsets)
 - [Versioning](#versioning)
 - [Contributing](#contributing)
-- [Community](#community)
 
 <!-- /TOC -->
 
@@ -114,7 +111,7 @@ To install Toolbox as a binary:
 <!-- {x-release-please-start-version} -->
 ```sh
 # see releases page for other versions
-export VERSION=0.12.0
+export VERSION=0.8.0
 curl -O https://storage.googleapis.com/genai-toolbox/v$VERSION/linux/amd64/toolbox
 chmod +x toolbox
 ```
@@ -127,23 +124,12 @@ You can also install Toolbox as a container:
 
 ```sh
 # see releases page for other versions
-export VERSION=0.12.0
+export VERSION=0.8.0
 docker pull us-central1-docker.pkg.dev/database-toolbox/toolbox/toolbox:$VERSION
 ```
 
 </details>
 
-<details>
-<summary>Homebrew</summary>
-
-To install Toolbox using Homebrew on macOS or Linux:
-
-```sh
-brew install mcp-toolbox
-```
-
-</details>
-
 <details>
 <summary>Compile from source</summary>
 
@@ -151,7 +137,7 @@ To install from source, ensure you have the latest version of
 [Go installed](https://go.dev/doc/install), and then run the following command:
 
 ```sh
-go install github.com/googleapis/genai-toolbox@v0.12.0
+go install github.com/googleapis/genai-toolbox@v0.8.0
 ```
 <!-- {x-release-please-end} -->
 
@@ -165,18 +151,8 @@ execute `toolbox` to start the server:
 ```sh
 ./toolbox --tools-file "tools.yaml"
 ```
-
 > [!NOTE]
-> Toolbox enables dynamic reloading by default. To disable, use the
-> `--disable-reload` flag.
-
-#### Homebrew Users
-
-If you installed Toolbox using Homebrew, the `toolbox` binary is available in your system path. You can start the server with the same command:
-
-```sh
-toolbox --tools-file "tools.yaml"
-```
+> Toolbox enables dynamic reloading by default. To disable, use the `--disable-reload` flag.
 
 You can use `toolbox help` for a full list of flags! To stop the server, send a
 terminate signal (`ctrl+c` on most platforms).
@@ -394,256 +370,7 @@ For more detailed instructions on using the Toolbox Core SDK, see the
   </details>
 </details>
 </blockquote>
-<details>
-  <summary>Go (<a href="https://github.com/googleapis/mcp-toolbox-sdk-go">Github</a>)</summary>
-  <br>
-  <blockquote>
-
-  <details open>
-    <summary>Core</summary>
-
-1. Install [Toolbox Go SDK][toolbox-go]:
-
-    ```bash
-    go get github.com/googleapis/mcp-toolbox-sdk-go
-    ```
-
-1. Load tools:
-
-    ```go
-    package main
-
-    import (
-      "github.com/googleapis/mcp-toolbox-sdk-go/core"
-      "context"
-    )
-
-    func main() {
-      // Make sure to add the error checks
-      // update the url to point to your server
-      URL := "http://127.0.0.1:5000";
-      ctx := context.Background()
-
-      client, err := core.NewToolboxClient(URL)
-
-      // Framework agnostic tools
-      tools, err := client.LoadToolset("toolsetName", ctx)
-    }
-    ```
-
-    For more detailed instructions on using the Toolbox Go SDK, see the
-    [project's README][toolbox-core-go-readme].
-
-    [toolbox-go]: https://pkg.go.dev/github.com/googleapis/mcp-toolbox-sdk-go/core
-    [toolbox-core-go-readme]: https://github.com/googleapis/mcp-toolbox-sdk-go/blob/main/core/README.md
-
-  </details>
-  <details>
-    <summary>LangChain Go</summary>
-
-1. Install [Toolbox Go SDK][toolbox-go]:
-
-    ```bash
-    go get github.com/googleapis/mcp-toolbox-sdk-go
-    ```
-
-2. Load tools:
-
-    ```go
-    package main
-
-    import (
-      "context"
-      "encoding/json"
-
-      "github.com/googleapis/mcp-toolbox-sdk-go/core"
-      "github.com/tmc/langchaingo/llms"
-    )
-
-    func main() {
-      // Make sure to add the error checks
-      // update the url to point to your server
-      URL := "http://127.0.0.1:5000"
-      ctx := context.Background()
-
-      client, err := core.NewToolboxClient(URL)
-
-      // Framework agnostic tool
-      tool, err := client.LoadTool("toolName", ctx)
-
-      // Fetch the tool's input schema
-      inputschema, err := tool.InputSchema()
-
-      var paramsSchema map[string]any
-      _ = json.Unmarshal(inputschema, &paramsSchema)
-
-      // Use this tool with LangChainGo
-      langChainTool := llms.Tool{
-        Type: "function",
-        Function: &llms.FunctionDefinition{
-          Name:        tool.Name(),
-          Description: tool.Description(),
-          Parameters:  paramsSchema,
-        },
-      }
-    }
-
-    ```
-
-  </details>
-  <details>
-    <summary>Genkit</summary>
-
-1. Install [Toolbox Go SDK][toolbox-go]:
-
-    ```bash
-    go get github.com/googleapis/mcp-toolbox-sdk-go
-    ```
-
-2. Load tools:
-
-    ```go
-    package main
-    import (
-      "context"
-      "encoding/json"
-
-      "github.com/firebase/genkit/go/ai"
-      "github.com/firebase/genkit/go/genkit"
-      "github.com/googleapis/mcp-toolbox-sdk-go/core"
-      "github.com/googleapis/mcp-toolbox-sdk-go/tbgenkit"
-      "github.com/invopop/jsonschema"
-    )
-
-    func main() {
-      // Make sure to add the error checks
-      // Update the url to point to your server
-      URL := "http://127.0.0.1:5000"
-      ctx := context.Background()
-      g, err := genkit.Init(ctx)
-
-      client, err := core.NewToolboxClient(URL)
-
-      // Framework agnostic tool
-      tool, err := client.LoadTool("toolName", ctx)
-
-      // Convert the tool using the tbgenkit package
-      // Use this tool with Genkit Go
-      genkitTool, err := tbgenkit.ToGenkitTool(tool, g)
-      if err != nil {
-        log.Fatalf("Failed to convert tool: %v\n", err)
-      }
-    }
-    ```
-
-  </details>
-  <details>
-    <summary>Go GenAI</summary>
-
-1. Install [Toolbox Go SDK][toolbox-go]:
-
-    ```bash
-    go get github.com/googleapis/mcp-toolbox-sdk-go
-    ```
-
-2. Load tools:
-
-    ```go
-    package main
-
-    import (
-      "context"
-      "encoding/json"
-
-      "github.com/googleapis/mcp-toolbox-sdk-go/core"
-      "google.golang.org/genai"
-    )
-
-    func main() {
-      // Make sure to add the error checks
-      // Update the url to point to your server
-      URL := "http://127.0.0.1:5000"
-      ctx := context.Background()
-
-      client, err := core.NewToolboxClient(URL)
-
-      // Framework agnostic tool
-      tool, err := client.LoadTool("toolName", ctx)
-
-      // Fetch the tool's input schema
-      inputschema, err := tool.InputSchema()
-
-      var schema *genai.Schema
-      _ = json.Unmarshal(inputschema, &schema)
-
-      funcDeclaration := &genai.FunctionDeclaration{
-        Name:        tool.Name(),
-        Description: tool.Description(),
-        Parameters:  schema,
-      }
-
-      // Use this tool with Go GenAI
-      genAITool := &genai.Tool{
-        FunctionDeclarations: []*genai.FunctionDeclaration{funcDeclaration},
-      }
-    }
-    ```
-
-  </details>
-  <details>
-    <summary>OpenAI Go</summary>
-
-1. Install [Toolbox Go SDK][toolbox-go]:
-
-    ```bash
-    go get github.com/googleapis/mcp-toolbox-sdk-go
-    ```
-
-2. Load tools:
-
-    ```go
-    package main
-
-    import (
-      "context"
-      "encoding/json"
-
-      "github.com/googleapis/mcp-toolbox-sdk-go/core"
-      openai "github.com/openai/openai-go"
-    )
-
-    func main() {
-      // Make sure to add the error checks
-      // Update the url to point to your server
-      URL := "http://127.0.0.1:5000"
-      ctx := context.Background()
-
-      client, err := core.NewToolboxClient(URL)
-
-      // Framework agnostic tool
-      tool, err := client.LoadTool("toolName", ctx)
-
-      // Fetch the tool's input schema
-      inputschema, err := tool.InputSchema()
-
-      var paramsSchema openai.FunctionParameters
-      _ = json.Unmarshal(inputschema, &paramsSchema)
-
-      // Use this tool with OpenAI Go
-      openAITool := openai.ChatCompletionToolParam{
-        Function: openai.FunctionDefinitionParam{
-          Name:        tool.Name(),
-          Description: openai.String(tool.Description()),
-          Parameters:  paramsSchema,
-        },
-      }
-
-    }
-    ```
-
-  </details>
-</details>
-</blockquote>
+  
 </details>
 
 ## Configuration
@@ -742,7 +469,3 @@ to get started.
 Please note that this project is released with a Contributor Code of Conduct.
 By participating in this project you agree to abide by its terms. See
 [Contributor Code of Conduct](CODE_OF_CONDUCT.md) for more information.
-
-## Community
-
-Join our [discord community](https://discord.gg/GQrFB3Ec3W) to connect with our developers!

cmd/root.go

@@ -44,7 +44,6 @@ import (
 	// Import tool packages for side effect of registration
 	_ "github.com/googleapis/genai-toolbox/internal/tools/alloydbainl"
 	_ "github.com/googleapis/genai-toolbox/internal/tools/bigquery/bigqueryexecutesql"
-	_ "github.com/googleapis/genai-toolbox/internal/tools/bigquery/bigqueryforecast"
 	_ "github.com/googleapis/genai-toolbox/internal/tools/bigquery/bigquerygetdatasetinfo"
 	_ "github.com/googleapis/genai-toolbox/internal/tools/bigquery/bigquerygettableinfo"
 	_ "github.com/googleapis/genai-toolbox/internal/tools/bigquery/bigquerylistdatasetids"
@@ -52,61 +51,19 @@ import (
 	_ "github.com/googleapis/genai-toolbox/internal/tools/bigquery/bigquerysql"
 	_ "github.com/googleapis/genai-toolbox/internal/tools/bigtable"
 	_ "github.com/googleapis/genai-toolbox/internal/tools/couchbase"
-	_ "github.com/googleapis/genai-toolbox/internal/tools/dataplex/dataplexlookupentry"
-	_ "github.com/googleapis/genai-toolbox/internal/tools/dataplex/dataplexsearchaspecttypes"
-	_ "github.com/googleapis/genai-toolbox/internal/tools/dataplex/dataplexsearchentries"
 	_ "github.com/googleapis/genai-toolbox/internal/tools/dgraph"
-	_ "github.com/googleapis/genai-toolbox/internal/tools/firestore/firestoreadddocuments"
-	_ "github.com/googleapis/genai-toolbox/internal/tools/firestore/firestoredeletedocuments"
-	_ "github.com/googleapis/genai-toolbox/internal/tools/firestore/firestoregetdocuments"
-	_ "github.com/googleapis/genai-toolbox/internal/tools/firestore/firestoregetrules"
-	_ "github.com/googleapis/genai-toolbox/internal/tools/firestore/firestorelistcollections"
-	_ "github.com/googleapis/genai-toolbox/internal/tools/firestore/firestorequerycollection"
-	_ "github.com/googleapis/genai-toolbox/internal/tools/firestore/firestorevalidaterules"
 	_ "github.com/googleapis/genai-toolbox/internal/tools/http"
-	_ "github.com/googleapis/genai-toolbox/internal/tools/looker/lookeradddashboardelement"
-	_ "github.com/googleapis/genai-toolbox/internal/tools/looker/lookergetdashboards"
-	_ "github.com/googleapis/genai-toolbox/internal/tools/looker/lookergetdimensions"
-	_ "github.com/googleapis/genai-toolbox/internal/tools/looker/lookergetexplores"
-	_ "github.com/googleapis/genai-toolbox/internal/tools/looker/lookergetfilters"
-	_ "github.com/googleapis/genai-toolbox/internal/tools/looker/lookergetlooks"
-	_ "github.com/googleapis/genai-toolbox/internal/tools/looker/lookergetmeasures"
-	_ "github.com/googleapis/genai-toolbox/internal/tools/looker/lookergetmodels"
-	_ "github.com/googleapis/genai-toolbox/internal/tools/looker/lookergetparameters"
-	_ "github.com/googleapis/genai-toolbox/internal/tools/looker/lookermakedashboard"
-	_ "github.com/googleapis/genai-toolbox/internal/tools/looker/lookermakelook"
-	_ "github.com/googleapis/genai-toolbox/internal/tools/looker/lookerquery"
-	_ "github.com/googleapis/genai-toolbox/internal/tools/looker/lookerquerysql"
-	_ "github.com/googleapis/genai-toolbox/internal/tools/looker/lookerqueryurl"
-	_ "github.com/googleapis/genai-toolbox/internal/tools/looker/lookerrunlook"
-	_ "github.com/googleapis/genai-toolbox/internal/tools/mongodb/mongodbaggregate"
-	_ "github.com/googleapis/genai-toolbox/internal/tools/mongodb/mongodbdeletemany"
-	_ "github.com/googleapis/genai-toolbox/internal/tools/mongodb/mongodbdeleteone"
-	_ "github.com/googleapis/genai-toolbox/internal/tools/mongodb/mongodbfind"
-	_ "github.com/googleapis/genai-toolbox/internal/tools/mongodb/mongodbfindone"
-	_ "github.com/googleapis/genai-toolbox/internal/tools/mongodb/mongodbinsertmany"
-	_ "github.com/googleapis/genai-toolbox/internal/tools/mongodb/mongodbinsertone"
-	_ "github.com/googleapis/genai-toolbox/internal/tools/mongodb/mongodbupdatemany"
-	_ "github.com/googleapis/genai-toolbox/internal/tools/mongodb/mongodbupdateone"
 	_ "github.com/googleapis/genai-toolbox/internal/tools/mssql/mssqlexecutesql"
 	_ "github.com/googleapis/genai-toolbox/internal/tools/mssql/mssqlsql"
 	_ "github.com/googleapis/genai-toolbox/internal/tools/mysql/mysqlexecutesql"
 	_ "github.com/googleapis/genai-toolbox/internal/tools/mysql/mysqlsql"
-	_ "github.com/googleapis/genai-toolbox/internal/tools/neo4j/neo4jcypher"
-	_ "github.com/googleapis/genai-toolbox/internal/tools/neo4j/neo4jexecutecypher"
-	_ "github.com/googleapis/genai-toolbox/internal/tools/neo4j/neo4jschema"
-	_ "github.com/googleapis/genai-toolbox/internal/tools/oceanbase/oceanbaseexecutesql"
-	_ "github.com/googleapis/genai-toolbox/internal/tools/oceanbase/oceanbasesql"
+	_ "github.com/googleapis/genai-toolbox/internal/tools/neo4j"
 	_ "github.com/googleapis/genai-toolbox/internal/tools/postgres/postgresexecutesql"
 	_ "github.com/googleapis/genai-toolbox/internal/tools/postgres/postgressql"
 	_ "github.com/googleapis/genai-toolbox/internal/tools/redis"
 	_ "github.com/googleapis/genai-toolbox/internal/tools/spanner/spannerexecutesql"
 	_ "github.com/googleapis/genai-toolbox/internal/tools/spanner/spannersql"
 	_ "github.com/googleapis/genai-toolbox/internal/tools/sqlitesql"
-	_ "github.com/googleapis/genai-toolbox/internal/tools/tidb/tidbexecutesql"
-	_ "github.com/googleapis/genai-toolbox/internal/tools/tidb/tidbsql"
-	_ "github.com/googleapis/genai-toolbox/internal/tools/utility/alloydbwaitforoperation"
-	_ "github.com/googleapis/genai-toolbox/internal/tools/utility/wait"
 	_ "github.com/googleapis/genai-toolbox/internal/tools/valkey"
 
 	"github.com/spf13/cobra"
@@ -118,21 +75,15 @@ import (
 	_ "github.com/googleapis/genai-toolbox/internal/sources/cloudsqlmysql"
 	_ "github.com/googleapis/genai-toolbox/internal/sources/cloudsqlpg"
 	_ "github.com/googleapis/genai-toolbox/internal/sources/couchbase"
-	_ "github.com/googleapis/genai-toolbox/internal/sources/dataplex"
 	_ "github.com/googleapis/genai-toolbox/internal/sources/dgraph"
-	_ "github.com/googleapis/genai-toolbox/internal/sources/firestore"
 	_ "github.com/googleapis/genai-toolbox/internal/sources/http"
-	_ "github.com/googleapis/genai-toolbox/internal/sources/looker"
-	_ "github.com/googleapis/genai-toolbox/internal/sources/mongodb"
 	_ "github.com/googleapis/genai-toolbox/internal/sources/mssql"
 	_ "github.com/googleapis/genai-toolbox/internal/sources/mysql"
 	_ "github.com/googleapis/genai-toolbox/internal/sources/neo4j"
-	_ "github.com/googleapis/genai-toolbox/internal/sources/oceanbase"
 	_ "github.com/googleapis/genai-toolbox/internal/sources/postgres"
 	_ "github.com/googleapis/genai-toolbox/internal/sources/redis"
 	_ "github.com/googleapis/genai-toolbox/internal/sources/spanner"
 	_ "github.com/googleapis/genai-toolbox/internal/sources/sqlite"
-	_ "github.com/googleapis/genai-toolbox/internal/sources/tidb"
 	_ "github.com/googleapis/genai-toolbox/internal/sources/valkey"
 )
 
@@ -231,7 +182,7 @@ func NewCommand(opts ...Option) *Command {
 	flags.BoolVar(&cmd.cfg.TelemetryGCP, "telemetry-gcp", false, "Enable exporting directly to Google Cloud Monitoring.")
 	flags.StringVar(&cmd.cfg.TelemetryOTLP, "telemetry-otlp", "", "Enable exporting using OpenTelemetry Protocol (OTLP) to the specified endpoint (e.g. 'http://127.0.0.1:4318')")
 	flags.StringVar(&cmd.cfg.TelemetryServiceName, "telemetry-service-name", "toolbox", "Sets the value of the service.name resource attribute for telemetry data.")
-	flags.StringVar(&cmd.prebuiltConfig, "prebuilt", "", "Use a prebuilt tool configuration by source type. Cannot be used with --tools-file. Allowed: 'alloydb-postgres-admin', alloydb-postgres', 'bigquery', 'cloud-sql-mysql', 'cloud-sql-postgres', 'cloud-sql-mssql', 'dataplex', 'firestore', 'looker', 'mssql', 'mysql', 'oceanbase', 'postgres', 'spanner', 'spanner-postgres'.")
+	flags.StringVar(&cmd.prebuiltConfig, "prebuilt", "", "Use a prebuilt tool configuration by source type. Cannot be used with --tools-file. Allowed: 'alloydb-postgres', 'bigquery', 'cloud-sql-mysql', 'cloud-sql-postgres', 'cloud-sql-mssql', 'postgres', 'spanner', 'spanner-postgres'.")
 	flags.BoolVar(&cmd.cfg.Stdio, "stdio", false, "Listens via MCP STDIO instead of acting as a remote HTTP server.")
 	flags.BoolVar(&cmd.cfg.DisableReload, "disable-reload", false, "Disables dynamic reloading of tools file.")
 	flags.BoolVar(&cmd.cfg.UI, "ui", false, "Launches the Toolbox UI web server.")
@@ -538,14 +489,13 @@ func watchChanges(ctx context.Context, watchDirs map[string]bool, watchedFiles m
 				return
 			}
 
-			// only check for events which indicate user saved a new tools file
-			// multiple operations checked due to various file update methods across editors
-			if !e.Has(fsnotify.Write | fsnotify.Create | fsnotify.Rename) {
+			// only check for write events which indicate user saved a new tools file
+			if !e.Has(fsnotify.Write) {
 				continue
 			}
 
 			cleanedFilename := filepath.Clean(e.Name)
-			logger.DebugContext(ctx, fmt.Sprintf("%s event detected in %s", e.Op, cleanedFilename))
+			logger.DebugContext(ctx, fmt.Sprintf("WRITE event detected in %s", cleanedFilename))
 
 			folderChanged := watchingFolder &&
 				(strings.HasSuffix(cleanedFilename, ".yaml") || strings.HasSuffix(cleanedFilename, ".yml"))
@@ -775,6 +725,11 @@ func run(cmd *Command) error {
 		cmd.logger.WarnContext(ctx, "`authSources` is deprecated, use `authServices` instead")
 		cmd.cfg.AuthServiceConfigs = authSourceConfigs
 	}
+	if err != nil {
+		errMsg := fmt.Errorf("unable to parse tool file at %q: %w", cmd.tools_file, err)
+		cmd.logger.ErrorContext(ctx, errMsg.Error())
+		return errMsg
+	}
 
 	instrumentation, err := telemetry.CreateTelemetryInstrumentation(versionString)
 	if err != nil {
@@ -812,7 +767,7 @@ func run(cmd *Command) error {
 		}
 		cmd.logger.InfoContext(ctx, "Server ready to serve!")
 		if cmd.cfg.UI {
-			cmd.logger.InfoContext(ctx, fmt.Sprintf("Toolbox UI is up and running at: http://localhost:%d/ui", cmd.cfg.Port))
+			cmd.logger.InfoContext(ctx, "Toolbox UI is up and running at: http://localhost:5000/ui")
 		}
 
 		go func() {

cmd/root_test.go

@@ -1152,8 +1152,7 @@ func TestSingleEdit(t *testing.T) {
 		t.Fatalf("error writing to file: %v", err)
 	}
 
-	// only check substring of DEBUG message due to some OS/editors firing different operations
-	detectedFileChange := regexp.MustCompile(fmt.Sprintf(`event detected in %s"`, regexEscapedPathFile))
+	detectedFileChange := regexp.MustCompile(fmt.Sprintf(`DEBUG "WRITE event detected in %s"`, regexEscapedPathFile))
 	_, err = testutils.WaitForString(ctx, detectedFileChange, pr)
 	if err != nil {
 		t.Fatalf("timeout or error waiting for file to detect write: %s", err)
@@ -1161,17 +1160,11 @@ func TestSingleEdit(t *testing.T) {
 }
 
 func TestPrebuiltTools(t *testing.T) {
-	alloydb_admin_config, _ := prebuiltconfigs.Get("alloydb-postgres-admin")
 	alloydb_config, _ := prebuiltconfigs.Get("alloydb-postgres")
 	bigquery_config, _ := prebuiltconfigs.Get("bigquery")
 	cloudsqlpg_config, _ := prebuiltconfigs.Get("cloud-sql-postgres")
 	cloudsqlmysql_config, _ := prebuiltconfigs.Get("cloud-sql-mysql")
 	cloudsqlmssql_config, _ := prebuiltconfigs.Get("cloud-sql-mssql")
-	dataplex_config, _ := prebuiltconfigs.Get("dataplex")
-	firestoreconfig, _ := prebuiltconfigs.Get("firestore")
-	mysql_config, _ := prebuiltconfigs.Get("mysql")
-	mssql_config, _ := prebuiltconfigs.Get("mssql")
-	looker_config, _ := prebuiltconfigs.Get("looker")
 	postgresconfig, _ := prebuiltconfigs.Get("postgres")
 	spanner_config, _ := prebuiltconfigs.Get("spanner")
 	spannerpg_config, _ := prebuiltconfigs.Get("spanner-postgres")
@@ -1184,16 +1177,6 @@ func TestPrebuiltTools(t *testing.T) {
 		in          []byte
 		wantToolset server.ToolsetConfigs
 	}{
-		{
-			name: "alloydb postgres admin prebuilt tools",
-			in:   alloydb_admin_config,
-			wantToolset: server.ToolsetConfigs{
-				"alloydb-postgres-admin-tools": tools.ToolsetConfig{
-					Name:      "alloydb-postgres-admin-tools",
-					ToolNames: []string{"alloydb-create-cluster", "alloydb-operations-get", "alloydb-create-instance", "alloydb-list-clusters", "alloydb-list-instances", "alloydb-list-users", "alloydb-create-user"},
-				},
-			},
-		},
 		{
 			name: "alloydb prebuilt tools",
 			in:   alloydb_config,
@@ -1210,7 +1193,7 @@ func TestPrebuiltTools(t *testing.T) {
 			wantToolset: server.ToolsetConfigs{
 				"bigquery-database-tools": tools.ToolsetConfig{
 					Name:      "bigquery-database-tools",
-					ToolNames: []string{"execute_sql", "forecast", "get_dataset_info", "get_table_info", "list_dataset_ids", "list_table_ids"},
+					ToolNames: []string{"execute_sql", "get_dataset_info", "get_table_info", "list_dataset_ids", "list_table_ids"},
 				},
 			},
 		},
@@ -1244,56 +1227,6 @@ func TestPrebuiltTools(t *testing.T) {
 				},
 			},
 		},
-		{
-			name: "dataplex prebuilt tools",
-			in:   dataplex_config,
-			wantToolset: server.ToolsetConfigs{
-				"dataplex-tools": tools.ToolsetConfig{
-					Name:      "dataplex-tools",
-					ToolNames: []string{"dataplex_search_entries", "dataplex_lookup_entry", "dataplex_search_aspect_types"},
-				},
-			},
-		},
-		{
-			name: "firestore prebuilt tools",
-			in:   firestoreconfig,
-			wantToolset: server.ToolsetConfigs{
-				"firestore-database-tools": tools.ToolsetConfig{
-					Name:      "firestore-database-tools",
-					ToolNames: []string{"firestore-get-documents", "firestore-add-documents", "firestore-list-collections", "firestore-delete-documents", "firestore-query-collection", "firestore-get-rules", "firestore-validate-rules"},
-				},
-			},
-		},
-		{
-			name: "mysql prebuilt tools",
-			in:   mysql_config,
-			wantToolset: server.ToolsetConfigs{
-				"mysql-database-tools": tools.ToolsetConfig{
-					Name:      "mysql-database-tools",
-					ToolNames: []string{"execute_sql", "list_tables"},
-				},
-			},
-		},
-		{
-			name: "mssql prebuilt tools",
-			in:   mssql_config,
-			wantToolset: server.ToolsetConfigs{
-				"mssql-database-tools": tools.ToolsetConfig{
-					Name:      "mssql-database-tools",
-					ToolNames: []string{"execute_sql", "list_tables"},
-				},
-			},
-		},
-		{
-			name: "looker prebuilt tools",
-			in:   looker_config,
-			wantToolset: server.ToolsetConfigs{
-				"looker-tools": tools.ToolsetConfig{
-					Name:      "looker-tools",
-					ToolNames: []string{"get_models", "get_explores", "get_dimensions", "get_measures", "get_filters", "get_parameters", "query", "query_sql", "query_url", "get_looks", "run_look", "make_look", "get_dashboards", "make_dashboard", "add_dashboard_element"},
-				},
-			},
-		},
 		{
 			name: "postgres prebuilt tools",
 			in:   postgresconfig,

cmd/version.txt

@@ -1 +1 @@
-0.12.0
+0.8.0

docs/en/_index.md

@@ -4,12 +4,12 @@ type: docs
 notoc: false
 weight: 1
 description: >
-  All of Toolbox's documentation.
+  All of Toolbox's documentation. 
 ---
 
 <html>
   <head>
     <link rel="canonical" href="getting-started/introduction/"/>
-    <meta http-equiv="refresh" content="0;url=getting-started/introduction/"/>
+    <meta http-equiv="refresh" content="0;url=getting-started/introduction"/>
   </head>
 </html>

docs/en/about/faq.md

@@ -7,11 +7,11 @@ description: Frequently asked questions about Toolbox.
 
 ## How can I deploy or run Toolbox?
 
-MCP Toolbox for Databases is open-source and can be run or deployed to a
+MCP Toolbox for Databases is open-source and can be ran or deployed to a
 multitude of environments. For convenience, we release [compiled binaries and
 docker images][release-notes] (but you can always compile yourself as well!).
 
-For detailed instructions, check out these resources:
+For detailed instructions, check our these resources:
 
 - [Quickstart: How to Run Locally](../getting-started/local_quickstart.md)
 - [Deploy to Cloud Run](../how-to/deploy_toolbox.md)

docs/en/concepts/telemetry/index.md

@@ -3,7 +3,7 @@ title: "Telemetry"
 type: docs
 weight: 2
 description: >
-  An overview of telemetry and observability in Toolbox.
+  An overview of telemetry and observability in Toolbox. 
 ---
 
 ## About
@@ -158,7 +158,7 @@ enabled:
 
 - [Cloud Logging API](https://cloud.google.com/logging/docs/api/enable-api)
 - [Cloud Monitoring API](https://cloud.google.com/monitoring/api/enable-api)
-- [Cloud Trace API](https://console.cloud.google.com/apis/enableflow?apiid=cloudtrace.googleapis.com)
+- [Cloud Trace API](https://cloud.google.com/apis/enableflow?apiid=cloudtrace.googleapis.com)
 {{< /notice >}}
 
 #### OTLP Exporter
@@ -177,7 +177,7 @@ It receives telemetry data, transforms it, and then exports data to backends
 that can store it permanently. Toolbox provide an option to export telemetry
 data to user's choice of backend(s) that are compatible with the Open Telemetry
 Protocol (OTLP). If you would like to use a collector, please refer to this
-[Export Telemetry using the Otel Collector](../../how-to/export_telemetry.md).
+[Export Telemetry using the Otel Collector](../how-to/export_telemetry.md).
 
 ### Flags
 

docs/en/getting-started/colab_quickstart.ipynb

@@ -190,18 +190,6 @@
         "!sudo lsof -i :5432"
       ]
     },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "## Optional: Enable Vertex AI API for Google Cloud\n",
-        "\n",
-        "If you're using a model hosted on **Vertex AI**, run the following command to enable the API:\n",
-        "\n",
-        "```bash\n",
-        "!gcloud services enable aiplatform.googleapis.com\n"
-      ]
-    },
     {
       "cell_type": "markdown",
       "metadata": {
@@ -234,7 +222,7 @@
       },
       "outputs": [],
       "source": [
-        "version = \"0.12.0\" # x-release-please-version\n",
+        "version = \"0.8.0\" # x-release-please-version\n",
         "! curl -O https://storage.googleapis.com/genai-toolbox/v{version}/linux/amd64/toolbox\n",
         "\n",
         "# Make the binary executable\n",

docs/en/getting-started/configure.md

@@ -1,7 +1,7 @@
 ---
 title: "Configuration"
 type: docs
-weight: 6
+weight: 4
 description: >
   How to configure Toolbox's tools.yaml file.
 ---
@@ -45,7 +45,7 @@ For more details on configuring different types of sources, see the
 
 ### Tools
 
-The `tools` section of your `tools.yaml` defines the actions your agent can
+The `tools` section of your `tools.yaml` define your the actions your agent can
 take: what kind of tool it is, which source(s) it affects, what parameters it
 uses, etc.
 
@@ -76,7 +76,7 @@ toolsets:
   my_first_toolset:
     - my_first_tool
     - my_second_tool
-  my_second_toolset:
+   my_second_toolset:
     - my_second_tool
     - my_third_tool
 ```

docs/en/getting-started/introduction/_index.md

@@ -86,7 +86,7 @@ To install Toolbox as a binary:
 
 ```sh
 # see releases page for other versions
-export VERSION=0.12.0
+export VERSION=0.8.0
 curl -O https://storage.googleapis.com/genai-toolbox/v$VERSION/linux/amd64/toolbox
 chmod +x toolbox
 ```
@@ -97,17 +97,10 @@ You can also install Toolbox as a container:
 
 ```sh
 # see releases page for other versions
-export VERSION=0.12.0
+export VERSION=0.8.0
 docker pull us-central1-docker.pkg.dev/database-toolbox/toolbox/toolbox:$VERSION
 ```
 
-{{% /tab %}}
-{{% tab header="Homebrew" lang="en" %}}
-To install Toolbox using Homebrew on macOS or Linux:
-
-```sh
-brew install mcp-toolbox
-```
 {{% /tab %}}
 {{% tab header="Compile from source" lang="en" %}}
 
@@ -115,7 +108,7 @@ To install from source, ensure you have the latest version of
 [Go installed](https://go.dev/doc/install), and then run the following command:
 
 ```sh
-go install github.com/googleapis/genai-toolbox@v0.12.0
+go install github.com/googleapis/genai-toolbox@v0.8.0
 ```
 
 {{% /tab %}}
@@ -130,34 +123,15 @@ execute `toolbox` to start the server:
 ```sh
 ./toolbox --tools-file "tools.yaml"
 ```
-
 {{< notice note >}}
-Toolbox enables dynamic reloading by default. To disable, use the
-`--disable-reload` flag.
+Toolbox enables dynamic reloading by default. To disable, use the `--disable-reload` flag.
 {{< /notice >}}
 
-#### Launching Toolbox UI
-
-To launch Toolbox's interactive UI, use the `--ui` flag. This allows you to test tools and toolsets
-with features such as authorized parameters. To learn more, visit [Toolbox UI](../../how-to/toolbox-ui/index.md).
-
-```sh
-./toolbox --ui
-```
-
-#### Homebrew Users
-
-If you installed Toolbox using Homebrew, the `toolbox` binary is available in your system path. You can start the server with the same command:
-
-```sh
-toolbox --tools-file "tools.yaml"
-```
-
 You can use `toolbox help` for a full list of flags! To stop the server, send a
 terminate signal (`ctrl+c` on most platforms).
 
 For more detailed documentation on deploying to different environments, check
-out the resources in the [How-to section](../../how-to/)
+out the resources in the [How-to section](../../how-to/_index.md)
 
 ### Integrating your application
 
@@ -165,7 +139,6 @@ Once your server is up and running, you can load the tools into your
 application. See below the list of Client SDKs for using various frameworks:
 
 #### Python
-
 {{< tabpane text=true persist=header >}}
 {{% tab header="Core" lang="en" %}}
 
@@ -178,7 +151,7 @@ from toolbox_core import ToolboxClient
 
 # update the url to point to your server
 
-async with ToolboxClient("http://127.0.0.1:5000") as client:
+async with ToolboxClient("<http://127.0.0.1:5000>") as client:
 
     # these tools can be passed to your application!
     tools = await client.load_toolset("toolset_name")
@@ -199,7 +172,7 @@ from toolbox_langchain import ToolboxClient
 
 # update the url to point to your server
 
-async with ToolboxClient("http://127.0.0.1:5000") as client:
+async with ToolboxClient("<http://127.0.0.1:5000>") as client:
 
     # these tools can be passed to your application!
     tools = client.load_toolset()
@@ -220,7 +193,7 @@ from toolbox_llamaindex import ToolboxClient
 
 # update the url to point to your server
 
-async with ToolboxClient("http://127.0.0.1:5000") as client:
+async with ToolboxClient("<http://127.0.0.1:5000>") as client:
 
 # these tools can be passed to your application
 
@@ -330,7 +303,7 @@ const toolboxTools = await client.loadToolset('toolsetName');
 const getTool = (toolboxTool) => tool({
     name: toolboxTool.getName(),
     description: toolboxTool.getDescription(),
-    parameters: toolboxTool.getParamSchema(),
+    parameters: toolboxTool.getParams(),
     execute: toolboxTool
 });;
 
@@ -343,255 +316,4 @@ const tools = toolboxTools.map(getTool);
 {{< /tabpane >}}
 
 For more detailed instructions on using the Toolbox Core SDK, see the
-[project's README](https://github.com/googleapis/mcp-toolbox-sdk-js/blob/main/packages/toolbox-core/README.md).
-
-#### Go
-
-Once you've installed the [Toolbox Go
-SDK](https://pkg.go.dev/github.com/googleapis/mcp-toolbox-sdk-go/core), you can load
-tools:
-
-{{< tabpane text=true persist=header >}}
-{{% tab header="Core" lang="en" %}}
-
-{{< highlight go >}}
-package main
-
-import (
-	"context"
-	"log"
-
-	"github.com/googleapis/mcp-toolbox-sdk-go/core"
-)
-
-func main() {
-	// update the url to point to your server
-	URL := "http://127.0.0.1:5000"
-	ctx := context.Background()
-
-	client, err := core.NewToolboxClient(URL)
-	if err != nil {
-		log.Fatalf("Failed to create Toolbox client: %v", err)
-	}
-
-	// Framework agnostic tools
-	tools, err := client.LoadToolset("toolsetName", ctx)
-	if err != nil {
-		log.Fatalf("Failed to load tools: %v", err)
-	}
-}
-{{< /highlight >}}
-
-{{% /tab %}}
-{{% tab header="LangChain Go" lang="en" %}}
-
-{{< highlight go >}}
-package main
-
-import (
-	"context"
-	"encoding/json"
-	"log"
-
-	"github.com/googleapis/mcp-toolbox-sdk-go/core"
-	"github.com/tmc/langchaingo/llms"
-)
-
-func main() {
-	// Make sure to add the error checks
-	// update the url to point to your server
-	URL := "http://127.0.0.1:5000"
-	ctx := context.Background()
-
-	client, err := core.NewToolboxClient(URL)
-	if err != nil {
-		log.Fatalf("Failed to create Toolbox client: %v", err)
-	}
-
-	// Framework agnostic tool
-	tool, err := client.LoadTool("toolName", ctx)
-	if err != nil {
-		log.Fatalf("Failed to load tools: %v", err)
-	}
-
-	// Fetch the tool's input schema
-	inputschema, err := tool.InputSchema()
-	if err != nil {
-		log.Fatalf("Failed to fetch inputSchema: %v", err)
-	}
-
-	var paramsSchema map[string]any
-	_ = json.Unmarshal(inputschema, &paramsSchema)
-
-	// Use this tool with LangChainGo
-	langChainTool := llms.Tool{
-		Type: "function",
-		Function: &llms.FunctionDefinition{
-			Name:        tool.Name(),
-			Description: tool.Description(),
-			Parameters:  paramsSchema,
-		},
-	}
-}
-{{< /highlight >}}
-
-{{% /tab %}}
-{{% tab header="Genkit Go" lang="en" %}}
-
-{{< highlight go >}}
-package main
-import (
-	"context"
-	"encoding/json"
-	"log"
-
-	"github.com/firebase/genkit/go/ai"
-	"github.com/firebase/genkit/go/genkit"
-	"github.com/googleapis/mcp-toolbox-sdk-go/core"
-	"github.com/googleapis/mcp-toolbox-sdk-go/tbgenkit"
-	"github.com/invopop/jsonschema"
-)
-
-func main() {
-	// Make sure to add the error checks
-	// Update the url to point to your server
-	URL := "http://127.0.0.1:5000"
-	ctx := context.Background()
-	g, err := genkit.Init(ctx)
-
-	client, err := core.NewToolboxClient(URL)
-	if err != nil {
-		log.Fatalf("Failed to create Toolbox client: %v", err)
-	}
-
-	// Framework agnostic tool
-	tool, err := client.LoadTool("toolName", ctx)
-	if err != nil {
-		log.Fatalf("Failed to load tools: %v", err)
-	}
-
-	// Convert the tool using the tbgenkit package
- 	// Use this tool with Genkit Go
-	genkitTool, err := tbgenkit.ToGenkitTool(tool, g)
-	if err != nil {
-		log.Fatalf("Failed to convert tool: %v\n", err)
-	}
-}
-{{< /highlight >}}
-
-{{% /tab %}}
-{{% tab header="Go GenAI" lang="en" %}}
-
-{{< highlight go >}}
-package main
-
-import (
-	"context"
-	"encoding/json"
-	"log"
-
-	"github.com/googleapis/mcp-toolbox-sdk-go/core"
-	"google.golang.org/genai"
-)
-
-func main() {
-	// Make sure to add the error checks
-	// Update the url to point to your server
-	URL := "http://127.0.0.1:5000"
-	ctx := context.Background()
-
-	client, err := core.NewToolboxClient(URL)
-	if err != nil {
-		log.Fatalf("Failed to create Toolbox client: %v", err)
-	}
-
-	// Framework agnostic tool
-	tool, err := client.LoadTool("toolName", ctx)
-	if err != nil {
-		log.Fatalf("Failed to load tools: %v", err)
-	}
-
-	// Fetch the tool's input schema
-	inputschema, err := tool.InputSchema()
-	if err != nil {
-		log.Fatalf("Failed to fetch inputSchema: %v", err)
-	}
-
-	var schema *genai.Schema
-	_ = json.Unmarshal(inputschema, &schema)
-
-	funcDeclaration := &genai.FunctionDeclaration{
-		Name:        tool.Name(),
-		Description: tool.Description(),
-		Parameters:  schema,
-	}
-
-	// Use this tool with Go GenAI
-	genAITool := &genai.Tool{
-		FunctionDeclarations: []*genai.FunctionDeclaration{funcDeclaration},
-	}
-}
-{{< /highlight >}}
-
-{{% /tab %}}
-
-{{% tab header="OpenAI Go" lang="en" %}}
-
-{{< highlight go >}}
-package main
-
-import (
-	"context"
-	"encoding/json"
-	"log"
-
-	"github.com/googleapis/mcp-toolbox-sdk-go/core"
-	openai "github.com/openai/openai-go"
-)
-
-func main() {
-	// Make sure to add the error checks
-	// Update the url to point to your server
-	URL := "http://127.0.0.1:5000"
-	ctx := context.Background()
-
-	client, err := core.NewToolboxClient(URL)
-	if err != nil {
-		log.Fatalf("Failed to create Toolbox client: %v", err)
-	}
-
-	// Framework agnostic tool
-	tool, err := client.LoadTool("toolName", ctx)
-	if err != nil {
-		log.Fatalf("Failed to load tools: %v", err)
-	}
-
-	// Fetch the tool's input schema
-	inputschema, err := tool.InputSchema()
-	if err != nil {
-		log.Fatalf("Failed to fetch inputSchema: %v", err)
-	}
-
-	var paramsSchema openai.FunctionParameters
-	_ = json.Unmarshal(inputschema, &paramsSchema)
-
-	// Use this tool with OpenAI Go
-	openAITool := openai.ChatCompletionToolParam{
-		Function: openai.FunctionDefinitionParam{
-			Name:        tool.Name(),
-			Description: openai.String(tool.Description()),
-			Parameters:  paramsSchema,
-		},
-	}
-}
-{{< /highlight >}}
-
-{{% /tab %}}
-{{< /tabpane >}}
-
-For more detailed instructions on using the Toolbox Go SDK, see the
-[project's README](https://github.com/googleapis/mcp-toolbox-sdk-go/blob/main/core/README.md).
-
-For end-to-end samples on using the Toolbox Go SDK with orchestration
-frameworks, see the [project's
-samples](https://github.com/googleapis/mcp-toolbox-sdk-go/tree/main/core/samples)
+[project's README](https://github.com/googleapis/mcp-toolbox-sdk-js/blob/main/packages/toolbox-core/README.md).

docs/en/getting-started/local_quickstart.md

@@ -1,9 +1,9 @@
 ---
-title: "Python Quickstart (Local)"
+title: "Quickstart (Local)"
 type: docs
 weight: 2
 description: >
-  How to get started running Toolbox locally with [Python](https://github.com/googleapis/mcp-toolbox-sdk-python), PostgreSQL, and  [Agent Development Kit](https://google.github.io/adk-docs/),
+  How to get started running Toolbox locally with Python, PostgreSQL, and  [Agent Development Kit](https://google.github.io/adk-docs/),
   [LangGraph](https://www.langchain.com/langgraph), [LlamaIndex](https://www.llamaindex.ai/) or [GoogleGenAI](https://pypi.org/project/google-genai/).
 ---
 
@@ -14,33 +14,15 @@ description: >
 This guide assumes you have already done the following:
 
 1. Installed [Python 3.9+][install-python] (including [pip][install-pip] and
-   your preferred virtual environment tool for managing dependencies e.g. [venv][install-venv]).
-1. Installed [PostgreSQL 16+ and the `psql` client][install-postgres].
-
-### Cloud Setup (Optional)
-<!-- [START cloud_setup] -->
-
-If you plan to use **Google Cloud’s Vertex AI** with your agent (e.g., using
-`vertexai=True` or a Google GenAI model), follow these one-time setup steps for
-local development:
-
-1. [Install the Google Cloud CLI](https://cloud.google.com/sdk/docs/install)
-1. [Set up Application Default Credentials (ADC)](https://cloud.google.com/docs/authentication/set-up-adc-local-dev-environment)
-1. Set your project and enable Vertex AI
-
-    ```bash
-    gcloud config set project YOUR_PROJECT_ID
-    gcloud services enable aiplatform.googleapis.com
-    ```
+   your preferred virtual environment tool for managing dependencies e.g. [venv][install-venv])
+1. Installed [PostgreSQL 16+ and the `psql` client][install-postgres]
 
 [install-python]: https://wiki.python.org/moin/BeginnersGuide/Download
 [install-pip]: https://pip.pypa.io/en/stable/installation/
 [install-venv]: https://packaging.python.org/en/latest/tutorials/installing-packages/#creating-virtual-environments
 [install-postgres]: https://www.postgresql.org/download/
-<!-- [END cloud_setup] -->
 
 ## Step 1: Set up your database
-<!-- [START database_setup] -->
 
 In this section, we will create a database, insert some data that needs to be
 accessed by our agent, and create a database user for Toolbox to connect with.
@@ -140,7 +122,7 @@ postgres` and a password next time.
 
     ```sql
     INSERT INTO hotels(id, name, location, price_tier, checkin_date, checkout_date, booked)
-    VALUES
+    VALUES 
       (1, 'Hilton Basel', 'Basel', 'Luxury', '2024-04-22', '2024-04-20', B'0'),
       (2, 'Marriott Zurich', 'Zurich', 'Upscale', '2024-04-14', '2024-04-21', B'0'),
       (3, 'Hyatt Regency Basel', 'Basel', 'Upper Upscale', '2024-04-02', '2024-04-20', B'0'),
@@ -158,11 +140,8 @@ postgres` and a password next time.
     ```bash
     \q
     ```
-<!-- [END database_setup] -->
-
 
 ## Step 2: Install and configure Toolbox
-<!-- [START configure_toolbox] -->
 
 In this section, we will download Toolbox, configure our tools in a
 `tools.yaml`, and then run the Toolbox server.
@@ -177,7 +156,7 @@ In this section, we will download Toolbox, configure our tools in a
     <!-- {x-release-please-start-version} -->
     ```bash
     export OS="linux/amd64" # one of linux/amd64, darwin/arm64, darwin/amd64, or windows/amd64
-    curl -O https://storage.googleapis.com/genai-toolbox/v0.12.0/$OS/toolbox
+    curl -O https://storage.googleapis.com/genai-toolbox/v0.8.0/$OS/toolbox
     ```
     <!-- {x-release-please-end} -->
 
@@ -278,14 +257,10 @@ In this section, we will download Toolbox, configure our tools in a
     ```bash
     ./toolbox --tools-file "tools.yaml"
     ```
-
     {{< notice note >}}
-    Toolbox enables dynamic reloading by default. To disable, use the
-    `--disable-reload` flag.
+    Toolbox enables dynamic reloading by default. To disable, use the `--disable-reload` flag.
     {{< /notice >}}
 
-<!-- [END configure_toolbox] -->
-
 ## Step 3: Connect your agent to Toolbox
 
 In this section, we will write and run an agent that will load the Tools
@@ -354,20 +329,310 @@ pip install google-genai
    code to create an agent:
     {{< tabpane persist=header >}}
 {{< tab header="ADK" lang="python" >}}
-{{< include "quickstart/python/adk/quickstart.py" >}}
+from google.adk.agents import Agent
+from google.adk.runners import Runner
+from google.adk.sessions import InMemorySessionService
+from google.adk.artifacts.in_memory_artifact_service import InMemoryArtifactService
+from google.genai import types
+from toolbox_core import ToolboxSyncClient
+
+import asyncio
+import os
+
+# TODO(developer): replace this with your Google API key
+
+os.environ['GOOGLE_API_KEY'] = 'your-api-key'
+
+async def main():
+  with ToolboxSyncClient("<http://127.0.0.1:5000>") as toolbox_client:
+
+      prompt = """
+        You're a helpful hotel assistant. You handle hotel searching, booking and
+        cancellations. When the user searches for a hotel, mention it's name, id,
+        location and price tier. Always mention hotel ids while performing any
+        searches. This is very important for any operations. For any bookings or
+        cancellations, please provide the appropriate confirmation. Be sure to
+        update checkin or checkout dates if mentioned by the user.
+        Don't ask for confirmations from the user.
+      """
+
+      root_agent = Agent(
+          model='gemini-2.0-flash-001',
+          name='hotel_agent',
+          description='A helpful AI assistant.',
+          instruction=prompt,
+          tools=toolbox_client.load_toolset("my-toolset"),
+      )
+
+      session_service = InMemorySessionService()
+      artifacts_service = InMemoryArtifactService()
+      session = await session_service.create_session(
+          state={}, app_name='hotel_agent', user_id='123'
+      )
+      runner = Runner(
+          app_name='hotel_agent',
+          agent=root_agent,
+          artifact_service=artifacts_service,
+          session_service=session_service,
+      )
+
+      queries = [
+          "Find hotels in Basel with Basel in it's name.",
+          "Can you book the Hilton Basel for me?",
+          "Oh wait, this is too expensive. Please cancel it and book the Hyatt Regency instead.",
+          "My check in dates would be from April 10, 2024 to April 19, 2024.",
+      ]
+
+      for query in queries:
+          content = types.Content(role='user', parts=[types.Part(text=query)])
+          events = runner.run(session_id=session.id,
+                              user_id='123', new_message=content)
+
+          responses = (
+            part.text
+            for event in events
+            for part in event.content.parts
+            if part.text is not None
+          )
+
+          for text in responses:
+            print(text)
+
+asyncio.run(main())
 {{< /tab >}}
 {{< tab header="LangChain" lang="python" >}}
-{{< include "quickstart/python/langchain/quickstart.py" >}}
+import asyncio
+
+from langgraph.prebuilt import create_react_agent
+
+# TODO(developer): replace this with another import if needed
+
+from langchain_google_vertexai import ChatVertexAI
+
+# from langchain_google_genai import ChatGoogleGenerativeAI
+
+# from langchain_anthropic import ChatAnthropic
+
+from langgraph.checkpoint.memory import MemorySaver
+
+from toolbox_langchain import ToolboxClient
+
+prompt = """
+  You're a helpful hotel assistant. You handle hotel searching, booking and
+  cancellations. When the user searches for a hotel, mention it's name, id,
+  location and price tier. Always mention hotel ids while performing any
+  searches. This is very important for any operations. For any bookings or
+  cancellations, please provide the appropriate confirmation. Be sure to
+  update checkin or checkout dates if mentioned by the user.
+  Don't ask for confirmations from the user.
+"""
+
+queries = [
+    "Find hotels in Basel with Basel in it's name.",
+    "Can you book the Hilton Basel for me?",
+    "Oh wait, this is too expensive. Please cancel it and book the Hyatt Regency instead.",
+    "My check in dates would be from April 10, 2024 to April 19, 2024.",
+]
+
+async def run_application():
+    # TODO(developer): replace this with another model if needed
+    model = ChatVertexAI(model_name="gemini-2.0-flash-001")
+    # model = ChatGoogleGenerativeAI(model="gemini-2.0-flash-001")
+    # model = ChatAnthropic(model="claude-3-5-sonnet-20240620")
+
+    # Load the tools from the Toolbox server
+    async with ToolboxClient("http://127.0.0.1:5000") as client:
+        tools = await client.aload_toolset()
+
+        agent = create_react_agent(model, tools, checkpointer=MemorySaver())
+
+        config = {"configurable": {"thread_id": "thread-1"}}
+        for query in queries:
+            inputs = {"messages": [("user", prompt + query)]}
+            response = agent.invoke(inputs, stream_mode="values", config=config)
+            print(response["messages"][-1].content)
+
+asyncio.run(run_application())
 {{< /tab >}}
 {{< tab header="LlamaIndex" lang="python" >}}
-{{< include "quickstart/python/llamaindex/quickstart.py" >}}
+import asyncio
+import os
+
+from llama_index.core.agent.workflow import AgentWorkflow
+
+from llama_index.core.workflow import Context
+
+# TODO(developer): replace this with another import if needed
+
+from llama_index.llms.google_genai import GoogleGenAI
+
+# from llama_index.llms.anthropic import Anthropic
+
+from toolbox_llamaindex import ToolboxClient
+
+prompt = """
+  You're a helpful hotel assistant. You handle hotel searching, booking and
+  cancellations. When the user searches for a hotel, mention it's name, id,
+  location and price tier. Always mention hotel ids while performing any
+  searches. This is very important for any operations. For any bookings or
+  cancellations, please provide the appropriate confirmation. Be sure to
+  update checkin or checkout dates if mentioned by the user.
+  Don't ask for confirmations from the user.
+"""
+
+queries = [
+    "Find hotels in Basel with Basel in it's name.",
+    "Can you book the Hilton Basel for me?",
+    "Oh wait, this is too expensive. Please cancel it and book the Hyatt Regency instead.",
+    "My check in dates would be from April 10, 2024 to April 19, 2024.",
+]
+
+async def run_application():
+    # TODO(developer): replace this with another model if needed
+    llm = GoogleGenAI(
+        model="gemini-2.0-flash-001",
+        vertexai_config={"project": "project-id", "location": "us-central1"},
+    )
+    # llm = GoogleGenAI(
+    #     api_key=os.getenv("GOOGLE_API_KEY"),
+    #     model="gemini-2.0-flash-001",
+    # )
+    # llm = Anthropic(
+    #   model="claude-3-7-sonnet-latest",
+    #   api_key=os.getenv("ANTHROPIC_API_KEY")
+    # )
+
+    # Load the tools from the Toolbox server
+    async with ToolboxClient("http://127.0.0.1:5000") as client:
+        tools = await client.aload_toolset()
+
+        agent = AgentWorkflow.from_tools_or_functions(
+            tools,
+            llm=llm,
+            system_prompt=prompt,
+        )
+        ctx = Context(agent)
+        for query in queries:
+            response = await agent.run(user_msg=query, ctx=ctx)
+            print(f"---- {query} ----")
+            print(str(response))
+
+asyncio.run(run_application())
 {{< /tab >}}
 {{< tab header="Core" lang="python" >}}
-{{< include "quickstart/python/core/quickstart.py" >}}
+import asyncio
+
+from google import genai
+from google.genai.types import (
+    Content,
+    FunctionDeclaration,
+    GenerateContentConfig,
+    Part,
+    Tool,
+)
+
+from toolbox_core import ToolboxClient
+
+prompt = """
+  You're a helpful hotel assistant. You handle hotel searching, booking and
+  cancellations. When the user searches for a hotel, mention it's name, id,
+  location and price tier. Always mention hotel id while performing any
+  searches. This is very important for any operations. For any bookings or
+  cancellations, please provide the appropriate confirmation. Be sure to
+  update checkin or checkout dates if mentioned by the user.
+  Don't ask for confirmations from the user.
+"""
+
+queries = [
+    "Find hotels in Basel with Basel in it's name.",
+    "Please book the hotel Hilton Basel for me.",
+    "This is too expensive. Please cancel it.",
+    "Please book Hyatt Regency for me",
+    "My check in dates for my booking would be from April 10, 2024 to April 19, 2024.",
+]
+
+async def run_application():
+    async with ToolboxClient("<http://127.0.0.1:5000>") as toolbox_client:
+
+        # The toolbox_tools list contains Python callables (functions/methods) designed for LLM tool-use
+        # integration. While this example uses Google's genai client, these callables can be adapted for
+        # various function-calling or agent frameworks. For easier integration with supported frameworks
+        # (https://github.com/googleapis/mcp-toolbox-python-sdk/tree/main/packages), use the
+        # provided wrapper packages, which handle framework-specific boilerplate.
+        toolbox_tools = await toolbox_client.load_toolset("my-toolset")
+        genai_client = genai.Client(
+            vertexai=True, project="project-id", location="us-central1"
+        )
+
+        genai_tools = [
+            Tool(
+                function_declarations=[
+                    FunctionDeclaration.from_callable_with_api_option(callable=tool)
+                ]
+            )
+            for tool in toolbox_tools
+        ]
+        history = []
+        for query in queries:
+            user_prompt_content = Content(
+                role="user",
+                parts=[Part.from_text(text=query)],
+            )
+            history.append(user_prompt_content)
+
+            response = genai_client.models.generate_content(
+                model="gemini-2.0-flash-001",
+                contents=history,
+                config=GenerateContentConfig(
+                    system_instruction=prompt,
+                    tools=genai_tools,
+                ),
+            )
+            history.append(response.candidates[0].content)
+            function_response_parts = []
+            for function_call in response.function_calls:
+                fn_name = function_call.name
+                # The tools are sorted alphabetically
+                if fn_name == "search-hotels-by-name":
+                    function_result = await toolbox_tools[3](**function_call.args)
+                elif fn_name == "search-hotels-by-location":
+                    function_result = await toolbox_tools[2](**function_call.args)
+                elif fn_name == "book-hotel":
+                    function_result = await toolbox_tools[0](**function_call.args)
+                elif fn_name == "update-hotel":
+                    function_result = await toolbox_tools[4](**function_call.args)
+                elif fn_name == "cancel-hotel":
+                    function_result = await toolbox_tools[1](**function_call.args)
+                else:
+                    raise ValueError("Function name not present.")
+                function_response = {"result": function_result}
+                function_response_part = Part.from_function_response(
+                    name=function_call.name,
+                    response=function_response,
+                )
+                function_response_parts.append(function_response_part)
+
+            if function_response_parts:
+                tool_response_content = Content(role="tool", parts=function_response_parts)
+                history.append(tool_response_content)
+
+            response2 = genai_client.models.generate_content(
+                model="gemini-2.0-flash-001",
+                contents=history,
+                config=GenerateContentConfig(
+                    tools=genai_tools,
+                ),
+            )
+            final_model_response_content = response2.candidates[0].content
+            history.append(final_model_response_content)
+            print(response2.text)
+
+asyncio.run(run_application())
+
 {{< /tab >}}
 {{< /tabpane >}}
 
-    {{< tabpane text=true persist=header >}}
+  {{< tabpane text=true persist=header >}}
 {{% tab header="ADK" lang="en" %}}
 To learn more about Agent Development Kit, check out the [ADK
 documentation.](https://google.github.io/adk-docs/)
@@ -393,7 +658,3 @@ Documentation](https://github.com/googleapis/python-genai?tab=readme-ov-file#man
     ```sh
     python hotel_agent.py
     ```
-
-{{< notice info >}}
-For more information, visit the [Python SDK repo](https://github.com/googleapis/mcp-toolbox-sdk-python).
-{{</ notice >}}

docs/en/getting-started/local_quickstart_go.md

@@ -1,678 +0,0 @@
----
-title: "Go Quickstart (Local)"
-type: docs
-weight: 4
-description: >
-  How to get started running Toolbox locally with [Go](https://github.com/googleapis/mcp-toolbox-sdk-go), PostgreSQL, and orchestration frameworks such as [LangChain Go](https://tmc.github.io/langchaingo/docs/), [GenkitGo](https://genkit.dev/go/docs/get-started-go/), [Go GenAI](https://github.com/googleapis/go-genai) and [OpenAI Go](https://github.com/openai/openai-go).
----
-
-## Before you begin
-
-This guide assumes you have already done the following:
-
-1. Installed [Go (v1.24.2 or higher)].
-1. Installed [PostgreSQL 16+ and the `psql` client][install-postgres].
-
-[Go (v1.24.2 or higher)]: https://go.dev/doc/install
-[install-postgres]: https://www.postgresql.org/download/
-
-### Cloud Setup (Optional)
-{{< snippet "local_quickstart.md" "cloud_setup" >}}
-
-## Step 1: Set up your database
-{{< snippet "local_quickstart.md" "database_setup" >}}
-
-## Step 2: Install and configure Toolbox
-{{< snippet "local_quickstart.md" "configure_toolbox" >}}
-
-## Step 3: Connect your agent to Toolbox
-
-In this section, we will write and run an agent that will load the Tools
-from Toolbox.
-
-1. Initialize a go module:
-
-    ```bash
-    go mod init main
-    ```
-
-1. In a new terminal, install the
-   [SDK](https://pkg.go.dev/github.com/googleapis/mcp-toolbox-sdk-go).
-
-    ```bash
-    go get github.com/googleapis/mcp-toolbox-sdk-go
-    ```
-
-1. Create a new file named `hotelagent.go` and copy the following code to create
-   an agent:
-
-    {{< tabpane persist=header >}}
-{{< tab header="LangChain Go" lang="go" >}}
-
-package main
-
-import (
-	"context"
-	"encoding/json"
-	"fmt"
-	"log"
-	"os"
-
-	"github.com/googleapis/mcp-toolbox-sdk-go/core"
-	"github.com/tmc/langchaingo/llms"
-	"github.com/tmc/langchaingo/llms/googleai"
-)
-
-// ConvertToLangchainTool converts a generic core.ToolboxTool into a LangChainGo llms.Tool.
-func ConvertToLangchainTool(toolboxTool *core.ToolboxTool) llms.Tool {
-
-	// Fetch the tool's input schema
-	inputschema, err := toolboxTool.InputSchema()
-	if err != nil {
-		return llms.Tool{}
-	}
-
-	var paramsSchema map[string]any
-	_ = json.Unmarshal(inputschema, &paramsSchema)
-
-	// Convert into LangChain's llms.Tool
-	return llms.Tool{
-		Type: "function",
-		Function: &llms.FunctionDefinition{
-			Name:        toolboxTool.Name(),
-			Description: toolboxTool.Description(),
-			Parameters:  paramsSchema,
-		},
-	}
-}
-
-const systemPrompt = `
-You're a helpful hotel assistant. You handle hotel searching, booking, and
-cancellations. When the user searches for a hotel, mention its name, id,
-location and price tier. Always mention hotel ids while performing any
-searches. This is very important for any operations. For any bookings or
-cancellations, please provide the appropriate confirmation. Be sure to
-update checkin or checkout dates if mentioned by the user.
-Don't ask for confirmations from the user.
-`
-
-var queries = []string{
-	"Find hotels in Basel with Basel in its name.",
-	"Can you book the hotel Hilton Basel for me?",
-	"Oh wait, this is too expensive. Please cancel it.",
-	"Please book the Hyatt Regency instead.",
-	"My check in dates would be from April 10, 2024 to April 19, 2024.",
-}
-
-func main() {
-	genaiKey := os.Getenv("GOOGLE_API_KEY")
-	toolboxURL := "http://localhost:5000"
-	ctx := context.Background()
-
-	// Initialize the Google AI client (LLM).
-	llm, err := googleai.New(ctx, googleai.WithAPIKey(genaiKey), googleai.WithDefaultModel("gemini-1.5-flash"))
-	if err != nil {
-		log.Fatalf("Failed to create Google AI client: %v", err)
-	}
-
-	// Initialize the MCP Toolbox client.
-	toolboxClient, err := core.NewToolboxClient(toolboxURL)
-	if err != nil {
-		log.Fatalf("Failed to create Toolbox client: %v", err)
-	}
-
-	// Load the tool using the MCP Toolbox SDK.
-	tools, err := toolboxClient.LoadToolset("my-toolset", ctx)
-	if err != nil {
-		log.Fatalf("Failed to load tools: %v\nMake sure your Toolbox server is running and the tool is configured.", err)
-	}
-
-	toolsMap := make(map[string]*core.ToolboxTool, len(tools))
-
-	langchainTools := make([]llms.Tool, len(tools))
-	// Convert the loaded ToolboxTools into the format LangChainGo requires.
-	for i, tool := range tools {
-		langchainTools[i] = ConvertToLangchainTool(tool)
-		toolsMap[tool.Name()] = tool
-	}
-
-	// Start the conversation history.
-	messageHistory := []llms.MessageContent{
-		llms.TextParts(llms.ChatMessageTypeSystem, systemPrompt),
-	}
-
-	for _, query := range queries {
-		messageHistory = append(messageHistory, llms.TextParts(llms.ChatMessageTypeHuman, query))
-
-		// Make the first call to the LLM, making it aware of the tool.
-		resp, err := llm.GenerateContent(ctx, messageHistory, llms.WithTools(langchainTools))
-		if err != nil {
-			log.Fatalf("LLM call failed: %v", err)
-		}
-		respChoice := resp.Choices[0]
-
-		assistantResponse := llms.TextParts(llms.ChatMessageTypeAI, respChoice.Content)
-		for _, tc := range respChoice.ToolCalls {
-			assistantResponse.Parts = append(assistantResponse.Parts, tc)
-		}
-		messageHistory = append(messageHistory, assistantResponse)
-
-		// Process each tool call requested by the model.
-		for _, tc := range respChoice.ToolCalls {
-			toolName := tc.FunctionCall.Name
-			tool := toolsMap[toolName]
-			var args map[string]any
-			if err := json.Unmarshal([]byte(tc.FunctionCall.Arguments), &args); err != nil {
-				log.Fatalf("Failed to unmarshal arguments for tool '%s': %v", toolName, err)
-			}
-			toolResult, err := tool.Invoke(ctx, args)
-			if err != nil {
-				log.Fatalf("Failed to execute tool '%s': %v", toolName, err)
-			}
-			if toolResult == "" || toolResult == nil {
-				toolResult = "Operation completed successfully with no specific return value."
-			}
-
-			// Create the tool call response message and add it to the history.
-			toolResponse := llms.MessageContent{
-				Role: llms.ChatMessageTypeTool,
-				Parts: []llms.ContentPart{
-					llms.ToolCallResponse{
-						Name:    toolName,
-						Content: fmt.Sprintf("%v", toolResult),
-					},
-				},
-			}
-			messageHistory = append(messageHistory, toolResponse)
-		}
-		finalResp, err := llm.GenerateContent(ctx, messageHistory)
-		if err != nil {
-			log.Fatalf("Final LLM call failed after tool execution: %v", err)
-		}
-
-		// Add the final textual response from the LLM to the history
-		messageHistory = append(messageHistory, llms.TextParts(llms.ChatMessageTypeAI, finalResp.Choices[0].Content))
-
-		fmt.Println(finalResp.Choices[0].Content)
-
-	}
-
-}
-
-{{< /tab >}}
-
-{{< tab header="Genkit Go" lang="go" >}}
-
-package main
-
-import (
-	"context"
-	"fmt"
-	"log"
-
-	"github.com/googleapis/mcp-toolbox-sdk-go/core"
-	"github.com/googleapis/mcp-toolbox-sdk-go/tbgenkit"
-
-	"github.com/firebase/genkit/go/ai"
-	"github.com/firebase/genkit/go/genkit"
-	"github.com/firebase/genkit/go/plugins/googlegenai"
-)
-
-const systemPrompt = `
-You're a helpful hotel assistant. You handle hotel searching, booking, and
-cancellations. When the user searches for a hotel, mention its name, id,
-location and price tier. Always mention hotel ids while performing any
-searches. This is very important for any operations. For any bookings or
-cancellations, please provide the appropriate confirmation. Be sure to
-update checkin or checkout dates if mentioned by the user.
-Don't ask for confirmations from the user.
-`
-
-var queries = []string{
-	"Find hotels in Basel with Basel in its name.",
-	"Can you book the hotel Hilton Basel for me?",
-	"Oh wait, this is too expensive. Please cancel it and book the Hyatt Regency instead.",
-	"My check in dates would be from April 10, 2024 to April 19, 2024.",
-}
-
-func main() {
-	ctx := context.Background()
-
-	// Create Toolbox Client
-	toolboxClient, err := core.NewToolboxClient("http://127.0.0.1:5000")
-	if err != nil {
-		log.Fatalf("Failed to create Toolbox client: %v", err)
-	}
-
-	// Load the tools using the MCP Toolbox SDK.
-	tools, err := toolboxClient.LoadToolset("my-toolset", ctx)
-	if err != nil {
-		log.Fatalf("Failed to load tools: %v\nMake sure your Toolbox server is running and the tool is configured.", err)
-	}
-
-	// Initialize Genkit
-	g, err := genkit.Init(ctx,
-		genkit.WithPlugins(&googlegenai.GoogleAI{}),
-		genkit.WithDefaultModel("googleai/gemini-1.5-flash"),
-	)
-	if err != nil {
-		log.Fatalf("Failed to init genkit: %v\n", err)
-	}
-
-	// Create a conversation history
-	conversationHistory := []*ai.Message{
-		ai.NewSystemTextMessage(systemPrompt),
-	}
-
-	// Convert your tool to a Genkit tool.
-	genkitTools := make([]ai.Tool, len(tools))
-	for i, tool := range tools {
-		newTool, err := tbgenkit.ToGenkitTool(tool, g)
-		if err != nil {
-			log.Fatalf("Failed to convert tool: %v\n", err)
-		}
-		genkitTools[i] = newTool
-	}
-
-	toolRefs := make([]ai.ToolRef, len(genkitTools))
-
-	for i, tool := range genkitTools {
-		toolRefs[i] = tool
-	}
-
-	for _, query := range queries {
-		conversationHistory = append(conversationHistory, ai.NewUserTextMessage(query))
-		response, err := genkit.Generate(ctx, g,
-			ai.WithMessages(conversationHistory...),
-			ai.WithTools(toolRefs...),
-			ai.WithReturnToolRequests(true),
-		)
-
-		if err != nil {
-			log.Fatalf("%v\n", err)
-		}
-		conversationHistory = append(conversationHistory, response.Message)
-
-		parts := []*ai.Part{}
-
-		for _, req := range response.ToolRequests() {
-			tool := genkit.LookupTool(g, req.Name)
-			if tool == nil {
-				log.Fatalf("tool %q not found", req.Name)
-			}
-
-			output, err := tool.RunRaw(ctx, req.Input)
-			if err != nil {
-				log.Fatalf("tool %q execution failed: %v", tool.Name(), err)
-			}
-
-			parts = append(parts,
-				ai.NewToolResponsePart(&ai.ToolResponse{
-					Name:   req.Name,
-					Ref:    req.Ref,
-					Output: output,
-				}))
-
-		}
-
-		if len(parts) > 0 {
-			resp, err := genkit.Generate(ctx, g,
-				ai.WithMessages(append(response.History(), ai.NewMessage(ai.RoleTool, nil, parts...))...),
-				ai.WithTools(toolRefs...),
-			)
-			if err != nil {
-				log.Fatal(err)
-			}
-			fmt.Println("\n", resp.Text())
-			conversationHistory = append(conversationHistory, resp.Message)
-		} else {
-			fmt.Println("\n", response.Text())
-		}
-
-	}
-
-}
-
-{{< /tab >}}
-
-{{< tab header="Go GenAI" lang="go" >}}
-
-package main
-
-import (
-	"context"
-	"encoding/json"
-	"fmt"
-	"log"
-	"os"
-
-	"github.com/googleapis/mcp-toolbox-sdk-go/core"
-	"google.golang.org/genai"
-)
-
-// ConvertToGenaiTool translates a ToolboxTool into the genai.FunctionDeclaration format.
-func ConvertToGenaiTool(toolboxTool *core.ToolboxTool) *genai.Tool {
-
-	inputschema, err := toolboxTool.InputSchema()
-	if err != nil {
-		return &genai.Tool{}
-	}
-
-	var paramsSchema *genai.Schema
-	_ = json.Unmarshal(inputschema, &paramsSchema)
-	// First, create the function declaration.
-	funcDeclaration := &genai.FunctionDeclaration{
-		Name:        toolboxTool.Name(),
-		Description: toolboxTool.Description(),
-		Parameters:  paramsSchema,
-	}
-
-	// Then, wrap the function declaration in a genai.Tool struct.
-	return &genai.Tool{
-		FunctionDeclarations: []*genai.FunctionDeclaration{funcDeclaration},
-	}
-}
-
-func printResponse(resp *genai.GenerateContentResponse) {
-	for _, cand := range resp.Candidates {
-		if cand.Content != nil {
-			for _, part := range cand.Content.Parts {
-				fmt.Println(part.Text)
-			}
-		}
-	}
-}
-
-const systemPrompt = `
-You're a helpful hotel assistant. You handle hotel searching, booking, and
-cancellations. When the user searches for a hotel, mention its name, id,
-location and price tier. Always mention hotel ids while performing any
-searches. This is very important for any operations. For any bookings or
-cancellations, please provide the appropriate confirmation. Be sure to
-update checkin or checkout dates if mentioned by the user.
-Don't ask for confirmations from the user.
-`
-
-var queries = []string{
-	"Find hotels in Basel with Basel in its name.",
-	"Can you book the hotel Hilton Basel for me?",
-	"Oh wait, this is too expensive. Please cancel it.",
-	"Please book the Hyatt Regency instead.",
-	"My check in dates would be from April 10, 2024 to April 19, 2024.",
-}
-
-func main() {
-	// Setup
-	ctx := context.Background()
-	apiKey := os.Getenv("GOOGLE_API_KEY")
-	toolboxURL := "http://localhost:5000"
-
-	// Initialize the Google GenAI client using the explicit ClientConfig.
-	client, err := genai.NewClient(ctx, &genai.ClientConfig{
-		APIKey: apiKey,
-	})
-	if err != nil {
-		log.Fatalf("Failed to create Google GenAI client: %v", err)
-	}
-
-	// Initialize the MCP Toolbox client.
-	toolboxClient, err := core.NewToolboxClient(toolboxURL)
-	if err != nil {
-		log.Fatalf("Failed to create Toolbox client: %v", err)
-	}
-
-	// Load the tool using the MCP Toolbox SDK.
-	tools, err := toolboxClient.LoadToolset("my-toolset", ctx)
-	if err != nil {
-		log.Fatalf("Failed to load tools: %v\nMake sure your Toolbox server is running and the tool is configured.", err)
-	}
-
-	genAITools := make([]*genai.Tool, len(tools))
-	toolsMap := make(map[string]*core.ToolboxTool, len(tools))
-
-	for i, tool := range tools {
-		genAITools[i] = ConvertToGenaiTool(tool)
-		toolsMap[tool.Name()] = tool
-	}
-
-	// Set up the generative model with the available tool.
-	modelName := "gemini-2.0-flash"
-
-	// Create the initial content prompt for the model.
-	messageHistory := []*genai.Content{
-		genai.NewContentFromText(systemPrompt, genai.RoleUser),
-	}
-	config := &genai.GenerateContentConfig{
-		Tools: genAITools,
-		ToolConfig: &genai.ToolConfig{
-			FunctionCallingConfig: &genai.FunctionCallingConfig{
-				Mode: genai.FunctionCallingConfigModeAny,
-			},
-		},
-	}
-
-	for _, query := range queries {
-
-		messageHistory = append(messageHistory, genai.NewContentFromText(query, genai.RoleUser))
-
-		genContentResp, err := client.Models.GenerateContent(ctx, modelName, messageHistory, config)
-		if err != nil {
-			log.Fatalf("LLM call failed for query '%s': %v", query, err)
-		}
-
-		if len(genContentResp.Candidates) > 0 && genContentResp.Candidates[0].Content != nil {
-			messageHistory = append(messageHistory, genContentResp.Candidates[0].Content)
-		}
-
-		functionCalls := genContentResp.FunctionCalls()
-
-		toolResponseParts := []*genai.Part{}
-
-		for _, fc := range functionCalls {
-
-			toolToInvoke, found := toolsMap[fc.Name]
-			if !found {
-				log.Fatalf("Tool '%s' not found in loaded tools map. Check toolset configuration.", fc.Name)
-			}
-
-			toolResult, invokeErr := toolToInvoke.Invoke(ctx, fc.Args)
-			if invokeErr != nil {
-				log.Fatalf("Failed to execute tool '%s': %v", fc.Name, invokeErr)
-			}
-
-			// Enhanced Tool Result Handling (retained to prevent nil issues)
-			toolResultString := ""
-			if toolResult != nil {
-				jsonBytes, marshalErr := json.Marshal(toolResult)
-				if marshalErr == nil {
-					toolResultString = string(jsonBytes)
-				} else {
-					toolResultString = fmt.Sprintf("%v", toolResult)
-				}
-			}
-
-			responseMap := map[string]any{"result": toolResultString}
-
-			toolResponseParts = append(toolResponseParts, genai.NewPartFromFunctionResponse(fc.Name, responseMap))
-		}
-		// Add all accumulated tool responses for this turn to the message history.
-		toolResponseContent := genai.NewContentFromParts(toolResponseParts, "function")
-		messageHistory = append(messageHistory, toolResponseContent)
-
-		finalResponse, err := client.Models.GenerateContent(ctx, modelName, messageHistory, &genai.GenerateContentConfig{})
-		if err != nil {
-			log.Fatalf("Error calling GenerateContent (with function result): %v", err)
-		}
-
-		printResponse(finalResponse)
-		// Add the final textual response from the LLM to the history
-		if len(finalResponse.Candidates) > 0 && finalResponse.Candidates[0].Content != nil {
-			messageHistory = append(messageHistory, finalResponse.Candidates[0].Content)
-		}
-	}
-}
-
-{{< /tab >}}
-
-{{< tab header="OpenAI Go" lang="go" >}}
-
-package main
-
-import (
-	"context"
-	"encoding/json"
-	"log"
-
-	"github.com/googleapis/mcp-toolbox-sdk-go/core"
-	openai "github.com/openai/openai-go"
-)
-
-// ConvertToOpenAITool converts a ToolboxTool into the go-openai library's Tool format.
-func ConvertToOpenAITool(toolboxTool *core.ToolboxTool) openai.ChatCompletionToolParam {
-	// Get the input schema
-	jsonSchemaBytes, err := toolboxTool.InputSchema()
-	if err != nil {
-		return openai.ChatCompletionToolParam{}
-	}
-
-	// Unmarshal the JSON bytes into FunctionParameters
-	var paramsSchema openai.FunctionParameters
-	if err := json.Unmarshal(jsonSchemaBytes, &paramsSchema); err != nil {
-		return openai.ChatCompletionToolParam{}
-	}
-
-	// Create and return the final tool parameter struct.
-	return openai.ChatCompletionToolParam{
-		Function: openai.FunctionDefinitionParam{
-			Name:        toolboxTool.Name(),
-			Description: openai.String(toolboxTool.Description()),
-			Parameters:  paramsSchema,
-		},
-	}
-}
-
-const systemPrompt = `
-You're a helpful hotel assistant. You handle hotel searching, booking, and
-cancellations. When the user searches for a hotel, mention its name, id,
-location and price tier. Always mention hotel ids while performing any
-searches. This is very important for any operations. For any bookings or
-cancellations, please provide the appropriate confirmation. Be sure to
-update checkin or checkout dates if mentioned by the user.
-Don't ask for confirmations from the user.
-`
-
-var queries = []string{
-	"Find hotels in Basel with Basel in its name.",
-	"Can you book the hotel Hilton Basel for me?",
-	"Oh wait, this is too expensive. Please cancel it and book the Hyatt Regency instead.",
-	"My check in dates would be from April 10, 2024 to April 19, 2024.",
-}
-
-func main() {
-	// Setup
-	ctx := context.Background()
-	toolboxURL := "http://localhost:5000"
-	openAIClient := openai.NewClient()
-
-	// Initialize the MCP Toolbox client.
-	toolboxClient, err := core.NewToolboxClient(toolboxURL)
-	if err != nil {
-		log.Fatalf("Failed to create Toolbox client: %v", err)
-	}
-
-	// Load the tools using the MCP Toolbox SDK.
-	tools, err := toolboxClient.LoadToolset("my-toolset", ctx)
-	if err != nil {
-		log.Fatalf("Failed to load tool : %v\nMake sure your Toolbox server is running and the tool is configured.", err)
-	}
-
-	openAITools := make([]openai.ChatCompletionToolParam, len(tools))
-	toolsMap := make(map[string]*core.ToolboxTool, len(tools))
-
-	for i, tool := range tools {
-		// Convert the Toolbox tool into the openAI FunctionDeclaration format.
-		openAITools[i] = ConvertToOpenAITool(tool)
-		// Add tool to a map for lookup later
-		toolsMap[tool.Name()] = tool
-
-	}
-
-	params := openai.ChatCompletionNewParams{
-		Messages: []openai.ChatCompletionMessageParamUnion{
-			openai.SystemMessage(systemPrompt),
-		},
-		Tools: openAITools,
-		Seed:  openai.Int(0),
-		Model: openai.ChatModelGPT4o,
-	}
-
-	for _, query := range queries {
-
-		params.Messages = append(params.Messages, openai.UserMessage(query))
-
-		// Make initial chat completion request
-		completion, err := openAIClient.Chat.Completions.New(ctx, params)
-		if err != nil {
-			panic(err)
-		}
-
-		toolCalls := completion.Choices[0].Message.ToolCalls
-
-		// Return early if there are no tool calls
-		if len(toolCalls) == 0 {
-			log.Println("No function call")
-		}
-
-		// If there was a function call, continue the conversation
-		params.Messages = append(params.Messages, completion.Choices[0].Message.ToParam())
-		for _, toolCall := range toolCalls {
-
-			toolName := toolCall.Function.Name
-			toolToInvoke := toolsMap[toolName]
-
-			var args map[string]any
-			err := json.Unmarshal([]byte(toolCall.Function.Arguments), &args)
-			if err != nil {
-				panic(err)
-			}
-
-			result, err := toolToInvoke.Invoke(ctx, args)
-			if err != nil {
-				log.Fatal("Could not invoke tool", err)
-			}
-
-			params.Messages = append(params.Messages, openai.ToolMessage(result.(string), toolCall.ID))
-		}
-
-		completion, err = openAIClient.Chat.Completions.New(ctx, params)
-		if err != nil {
-			panic(err)
-		}
-
-		params.Messages = append(params.Messages, openai.AssistantMessage(query))
-
-		println("\n", completion.Choices[0].Message.Content)
-
-	}
-
-}
-
-{{< /tab >}}
-{{< /tabpane >}}
-
-1. Ensure all dependencies are installed:
-
-    ```sh
-    go mod tidy
-    ```
-
-1. Run your agent, and observe the results:
-
-    ```sh
-    go run hotelagent.go
-    ```
-
-{{< notice info >}}
-For more information, visit the [Go SDK
-repo](https://github.com/googleapis/mcp-toolbox-sdk-go).
-{{</ notice >}}

docs/en/getting-started/local_quickstart_js.md

@@ -1,332 +0,0 @@
----
-title: "JS Quickstart (Local)"
-type: docs
-weight: 3
-description: >
-  How to get started running Toolbox locally with [JavaScript](https://github.com/googleapis/mcp-toolbox-sdk-js), PostgreSQL, and orchestration frameworks such as [LangChain](https://js.langchain.com/docs/introduction/), [GenkitJS](https://genkit.dev/docs/get-started/), and [LlamaIndex](https://ts.llamaindex.ai/).
----
-
-## Before you begin
-
-This guide assumes you have already done the following:
-
-1. Installed [Node.js (v18 or higher)].
-1. Installed [PostgreSQL 16+ and the `psql` client][install-postgres].
-
-[Node.js (v18 or higher)]: https://nodejs.org/
-[install-postgres]: https://www.postgresql.org/download/
-
-### Cloud Setup (Optional)
-{{< snippet "local_quickstart.md" "cloud_setup" >}}
-
-{{< snippet "test.py" "demo" "py" >}}
-
-## Step 1: Set up your database
-{{< snippet "local_quickstart.md" "database_setup" >}}
-
-## Step 2: Install and configure Toolbox
-{{< snippet "local_quickstart.md" "configure_toolbox" >}}
-
-## Step 3: Connect your agent to Toolbox
-
-In this section, we will write and run an agent that will load the Tools
-from Toolbox.
-
-1. (Optional) Initialize a Node.js project:
-
-    ```bash
-    npm init -y
-    ```
-
-1. In a new terminal, install the [SDK](https://www.npmjs.com/package/@toolbox-sdk/core).
-
-    ```bash
-    npm install @toolbox-sdk/core
-    ```
-
-1. Install other required dependencies
-
-   {{< tabpane persist=header >}}
-{{< tab header="LangChain" lang="bash" >}}
-npm install langchain @langchain/google-genai
-{{< /tab >}}
-{{< tab header="GenkitJS" lang="bash" >}}
-npm install genkit @genkit-ai/googleai
-{{< /tab >}}
-{{< tab header="LlamaIndex" lang="bash" >}}
-npm install llamaindex @llamaindex/google @llamaindex/workflow
-{{< /tab >}}
-{{< /tabpane >}}
-
-1. Create a new file named `hotelAgent.js` and copy the following code to create an agent:
-
-    {{< tabpane persist=header >}}
-{{< tab header="LangChain" lang="js" >}}
-
-import { ChatGoogleGenerativeAI } from "@langchain/google-genai";
-import { ToolboxClient } from "@toolbox-sdk/core";
-import { tool } from "@langchain/core/tools";
-import { createReactAgent } from "@langchain/langgraph/prebuilt";
-import { MemorySaver } from "@langchain/langgraph";
-
-// Replace it with your API key
-process.env.GOOGLE_API_KEY = 'your-api-key';
-
-const prompt = `
-You're a helpful hotel assistant. You handle hotel searching, booking, and
-cancellations. When the user searches for a hotel, mention its name, id,
-location and price tier. Always mention hotel ids while performing any
-searches. This is very important for any operations. For any bookings or
-cancellations, please provide the appropriate confirmation. Be sure to
-update checkin or checkout dates if mentioned by the user.
-Don't ask for confirmations from the user.
-`;
-
-const queries = [
-  "Find hotels in Basel with Basel in its name.",
-  "Can you book the Hilton Basel for me?",
-  "Oh wait, this is too expensive. Please cancel it and book the Hyatt Regency instead.",
-  "My check in dates would be from April 10, 2024 to April 19, 2024.",
-];
-
-async function runApplication() {
-  const model = new ChatGoogleGenerativeAI({
-    model: "gemini-2.0-flash",
-  });
-
-  const client = new ToolboxClient("http://127.0.0.1:5000");
-  const toolboxTools = await client.loadToolset("my-toolset");
-
-  // Define the basics of the tool: name, description, schema and core logic
-  const getTool = (toolboxTool) => tool(toolboxTool, {
-    name: toolboxTool.getName(),
-    description: toolboxTool.getDescription(),
-    schema: toolboxTool.getParamSchema()
-  });
-  const tools = toolboxTools.map(getTool);
-
-  const agent = createReactAgent({
-    llm: model,
-    tools: tools,
-    checkpointer: new MemorySaver(),
-    systemPrompt: prompt,
-  });
-
-  const langGraphConfig = {
-    configurable: {
-        thread_id: "test-thread",
-    },
-  };
-
-  for (const query of queries) {
-    const agentOutput = await agent.invoke(
-    {
-        messages: [
-        {
-            role: "user",
-            content: query,
-        },
-        ],
-        verbose: true,
-    },
-    langGraphConfig
-    );
-    const response = agentOutput.messages[agentOutput.messages.length - 1].content;
-    console.log(response);
-  }
-}
-
-runApplication()
-  .catch(console.error)
-  .finally(() => console.log("\nApplication finished."));
-
-{{< /tab >}}
-
-{{< tab header="GenkitJS" lang="js" >}}
-
-import { ToolboxClient } from "@toolbox-sdk/core";
-import { genkit } from "genkit";
-import { googleAI } from '@genkit-ai/googleai';
-
-// Replace it with your API key
-process.env.GOOGLE_API_KEY = 'your-api-key';
-
-const systemPrompt = `
-You're a helpful hotel assistant. You handle hotel searching, booking, and
-cancellations. When the user searches for a hotel, mention its name, id,
-location and price tier. Always mention hotel ids while performing any
-searches. This is very important for any operations. For any bookings or
-cancellations, please provide the appropriate confirmation. Be sure to
-update checkin or checkout dates if mentioned by the user.
-Don't ask for confirmations from the user.
-`;
-
-const queries = [
-  "Find hotels in Basel with Basel in its name.",
-  "Can you book the Hilton Basel for me?",
-  "Oh wait, this is too expensive. Please cancel it and book the Hyatt Regency instead.",
-  "My check in dates would be from April 10, 2024 to April 19, 2024.",
-];
-
-async function run() {
-  const toolboxClient = new ToolboxClient("http://127.0.0.1:5000");
-
-  const ai = genkit({
-    plugins: [
-      googleAI({
-        apiKey: process.env.GEMINI_API_KEY || process.env.GOOGLE_API_KEY
-      })
-    ],
-    model: googleAI.model('gemini-2.0-flash'),
-  });
-
-  const toolboxTools = await toolboxClient.loadToolset("my-toolset");
-  const toolMap = Object.fromEntries(
-    toolboxTools.map((tool) => {
-      const definedTool = ai.defineTool(
-        {
-          name: tool.getName(),
-          description: tool.getDescription(),
-          inputSchema: tool.getParamSchema(),
-        },
-        tool
-      );
-      return [tool.getName(), definedTool];
-    })
-  );
-  const tools = Object.values(toolMap);
-
-  let conversationHistory = [{ role: "system", content: [{ text: systemPrompt }] }];
-
-  for (const query of queries) {
-    conversationHistory.push({ role: "user", content: [{ text: query }] });
-    const response = await ai.generate({
-      messages: conversationHistory,
-      tools: tools,
-    });
-    conversationHistory.push(response.message);
-
-    const toolRequests = response.toolRequests;
-    if (toolRequests?.length > 0) {
-      // Execute tools concurrently and collect their responses.
-      const toolResponses = await Promise.all(
-        toolRequests.map(async (call) => {
-          try {
-            const toolOutput = await toolMap[call.name].invoke(call.input);
-            return { role: "tool", content: [{ toolResponse: { name: call.name, output: toolOutput } }] };
-          } catch (e) {
-            console.error(`Error executing tool ${call.name}:`, e);
-            return { role: "tool", content: [{ toolResponse: { name: call.name, output: { error: e.message } } }] };
-          }
-        })
-      );
-
-      conversationHistory.push(...toolResponses);
-
-      // Call the AI again with the tool results.
-      response = await ai.generate({ messages: conversationHistory, tools });
-      conversationHistory.push(response.message);
-    }
-
-    console.log(response.text);
-  }
-}
-
-run();
-{{< /tab >}}
-
-{{< tab header="LlamaIndex" lang="js" >}}
-
-import { gemini, GEMINI_MODEL } from "@llamaindex/google";
-import { agent } from "@llamaindex/workflow";
-import { createMemory, staticBlock, tool } from "llamaindex";
-import { ToolboxClient } from "@toolbox-sdk/core";
-
-const TOOLBOX_URL = "http://127.0.0.1:5000"; // Update if needed
-process.env.GOOGLE_API_KEY = 'your-api-key'; // Replace it with your API key
-
-const prompt = `
-
-You're a helpful hotel assistant. You handle hotel searching, booking and cancellations.
-When the user searches for a hotel, mention its name, id, location and price tier.
-Always mention hotel ids while performing any searches — this is very important for operations.
-For any bookings or cancellations, please provide the appropriate confirmation.
-Update check-in or check-out dates if mentioned by the user.
-Don't ask for confirmations from the user.
-
-`;
-
-const queries = [
-  "Find hotels in Basel with Basel in its name.",
-  "Can you book the Hilton Basel for me?",
-  "Oh wait, this is too expensive. Please cancel it and book the Hyatt Regency instead.",
-  "My check in dates would be from April 10, 2024 to April 19, 2024.",
-];
-
-async function main() {
-  // Connect to MCP Toolbox
-  const client = new ToolboxClient(TOOLBOX_URL);
-  const toolboxTools = await client.loadToolset("my-toolset");
-  const tools = toolboxTools.map((toolboxTool) => {
-    return tool({
-      name: toolboxTool.getName(),
-      description: toolboxTool.getDescription(),
-      parameters: toolboxTool.getParamSchema(),
-      execute: toolboxTool,
-    });
-  });
-
-  // Initialize LLM
-  const llm = gemini({
-    model: GEMINI_MODEL.GEMINI_2_0_FLASH,
-    apiKey: process.env.GOOGLE_API_KEY,
-  });
-
-  const memory = createMemory({
-    memoryBlocks: [
-      staticBlock({
-        content: prompt,
-      }),
-    ],
-  });
-
-  // Create the Agent
-  const myAgent = agent({
-    tools: tools,
-    llm,
-    memory,
-    systemPrompt: prompt,
-  });
-
-  for (const query of queries) {
-    const result = await myAgent.run(query);
-    const output = result.data.result;
-
-    console.log(`\nUser: ${query}`);
-    if (typeof output === "string") {
-      console.log(output.trim());
-    } else if (typeof output === "object" && "text" in output) {
-      console.log(output.text.trim());
-    } else {
-      console.log(JSON.stringify(output));
-    }
-  }
-  //You may observe some extra logs during execution due to the run method provided by Llama.
-  console.log("Agent run finished.");
-}
-
-main();
-
-{{< /tab >}}
-
-{{< /tabpane >}}
-
-1. Run your agent, and observe the results:
-
-    ```sh
-    node hotelAgent.js
-    ```
-
-{{< notice info >}}
-For more information, visit the [JS SDK repo](https://github.com/googleapis/mcp-toolbox-sdk-js).
-{{</ notice >}}

docs/en/getting-started/mcp_quickstart/_index.md

@@ -1,9 +1,9 @@
 ---
 title: "Quickstart (MCP)"
 type: docs
-weight: 5
+weight: 3
 description: >
-  How to get started running Toolbox locally with MCP Inspector.
+  How to get started running Toolbox locally with MCP Inspector. 
 ---
 
 ## Overview
@@ -71,7 +71,7 @@ access by our agent, and create a database user for Toolbox to connect with.
 
     ```sql
     INSERT INTO hotels(id, name, location, price_tier, checkin_date, checkout_date, booked)
-    VALUES
+    VALUES 
       (1, 'Hilton Basel', 'Basel', 'Luxury', '2024-04-22', '2024-04-20', B'0'),
       (2, 'Marriott Zurich', 'Zurich', 'Upscale', '2024-04-14', '2024-04-21', B'0'),
       (3, 'Hyatt Regency Basel', 'Basel', 'Upper Upscale', '2024-04-02', '2024-04-20', B'0'),
@@ -105,7 +105,7 @@ In this section, we will download Toolbox, configure our tools in a
     <!-- {x-release-please-start-version} -->
     ```bash
     export OS="linux/amd64" # one of linux/amd64, darwin/arm64, darwin/amd64, or windows/amd64
-    curl -O https://storage.googleapis.com/genai-toolbox/v0.12.0/$OS/toolbox
+    curl -O https://storage.googleapis.com/genai-toolbox/v0.8.0/$OS/toolbox
     ```
     <!-- {x-release-please-end} -->
 
@@ -200,7 +200,7 @@ In this section, we will download Toolbox, configure our tools in a
     ```
 
     For more info on tools, check out the
-    [Tools](../../resources/tools/) section.
+    [Tools](../../resources/tools/_index.md) section.
 
 1. Run the Toolbox server, pointing to the `tools.yaml` file created earlier:
 
@@ -218,27 +218,17 @@ In this section, we will download Toolbox, configure our tools in a
 
 1. Type `y` when it asks to install the inspector package.
 
-1. It should show the following when the MCP Inspector is up and running (please
-   take note of `<YOUR_SESSION_TOKEN>`):
+1. It should show the following when the MCP Inspector is up and running:
 
     ```bash
-    Starting MCP inspector...
-    ⚙️ Proxy server listening on localhost:6277
-    🔑 Session token: <YOUR_SESSION_TOKEN>
-       Use this token to authenticate requests or set DANGEROUSLY_OMIT_AUTH=true to disable auth
-
-    🚀 MCP Inspector is up and running at:
-       http://localhost:6274/?MCP_PROXY_AUTH_TOKEN=<YOUR_SESSION_TOKEN>
+    🔍 MCP Inspector is up and running at http://127.0.0.1:5173 🚀
     ```
 
 1. Open the above link in your browser.
 
-1. For `Transport Type`, select `Streamable HTTP`.
+1. For `Transport Type`, select `SSE`.
 
-1. For `URL`, type in `http://127.0.0.1:5000/mcp`.
-
-1. For `Configuration` -> `Proxy Session Token`, make sure
-   `<YOUR_SESSION_TOKEN>` is present.
+1. For `URL`, type in `http://127.0.0.1:5000/mcp/sse`.
 
 1. Click Connect.
 

docs/en/getting-started/quickstart/python/adk/quickstart.py

@@ -1,70 +0,0 @@
-from google.adk.agents import Agent
-from google.adk.runners import Runner
-from google.adk.sessions import InMemorySessionService
-from google.adk.artifacts.in_memory_artifact_service import InMemoryArtifactService
-from google.genai import types
-from toolbox_core import ToolboxSyncClient
-
-import asyncio
-import os
-
-# TODO(developer): replace this with your Google API key
-
-os.environ['GOOGLE_API_KEY'] = 'your-api-key'
-
-async def main():
-  with ToolboxSyncClient("<http://127.0.0.1:5000>") as toolbox_client:
-
-      prompt = """
-        You're a helpful hotel assistant. You handle hotel searching, booking and
-        cancellations. When the user searches for a hotel, mention it's name, id,
-        location and price tier. Always mention hotel ids while performing any
-        searches. This is very important for any operations. For any bookings or
-        cancellations, please provide the appropriate confirmation. Be sure to
-        update checkin or checkout dates if mentioned by the user.
-        Don't ask for confirmations from the user.
-      """
-
-      root_agent = Agent(
-          model='gemini-2.0-flash-001',
-          name='hotel_agent',
-          description='A helpful AI assistant.',
-          instruction=prompt,
-          tools=toolbox_client.load_toolset("my-toolset"),
-      )
-
-      session_service = InMemorySessionService()
-      artifacts_service = InMemoryArtifactService()
-      session = await session_service.create_session(
-          state={}, app_name='hotel_agent', user_id='123'
-      )
-      runner = Runner(
-          app_name='hotel_agent',
-          agent=root_agent,
-          artifact_service=artifacts_service,
-          session_service=session_service,
-      )
-
-      queries = [
-          "Find hotels in Basel with Basel in its name.",
-          "Can you book the Hilton Basel for me?",
-          "Oh wait, this is too expensive. Please cancel it and book the Hyatt Regency instead.",
-          "My check in dates would be from April 10, 2024 to April 19, 2024.",
-      ]
-
-      for query in queries:
-          content = types.Content(role='user', parts=[types.Part(text=query)])
-          events = runner.run(session_id=session.id,
-                              user_id='123', new_message=content)
-
-          responses = (
-            part.text
-            for event in events
-            for part in event.content.parts
-            if part.text is not None
-          )
-
-          for text in responses:
-            print(text)
-
-asyncio.run(main())

docs/en/getting-started/quickstart/python/core/quickstart.py

@@ -1,108 +0,0 @@
-import asyncio
-
-from google import genai
-from google.genai.types import (
-    Content,
-    FunctionDeclaration,
-    GenerateContentConfig,
-    Part,
-    Tool,
-)
-
-from toolbox_core import ToolboxClient
-
-prompt = """
-  You're a helpful hotel assistant. You handle hotel searching, booking and
-  cancellations. When the user searches for a hotel, mention it's name, id,
-  location and price tier. Always mention hotel id while performing any
-  searches. This is very important for any operations. For any bookings or
-  cancellations, please provide the appropriate confirmation. Be sure to
-  update checkin or checkout dates if mentioned by the user.
-  Don't ask for confirmations from the user.
-"""
-
-queries = [
-    "Find hotels in Basel with Basel in its name.",
-    "Please book the hotel Hilton Basel for me.",
-    "This is too expensive. Please cancel it.",
-    "Please book Hyatt Regency for me",
-    "My check in dates for my booking would be from April 10, 2024 to April 19, 2024.",
-]
-
-async def run_application():
-    async with ToolboxClient("<http://127.0.0.1:5000>") as toolbox_client:
-
-        # The toolbox_tools list contains Python callables (functions/methods) designed for LLM tool-use
-        # integration. While this example uses Google's genai client, these callables can be adapted for
-        # various function-calling or agent frameworks. For easier integration with supported frameworks
-        # (https://github.com/googleapis/mcp-toolbox-python-sdk/tree/main/packages), use the
-        # provided wrapper packages, which handle framework-specific boilerplate.
-        toolbox_tools = await toolbox_client.load_toolset("my-toolset")
-        genai_client = genai.Client(
-            vertexai=True, project="project-id", location="us-central1"
-        )
-
-        genai_tools = [
-            Tool(
-                function_declarations=[
-                    FunctionDeclaration.from_callable_with_api_option(callable=tool)
-                ]
-            )
-            for tool in toolbox_tools
-        ]
-        history = []
-        for query in queries:
-            user_prompt_content = Content(
-                role="user",
-                parts=[Part.from_text(text=query)],
-            )
-            history.append(user_prompt_content)
-
-            response = genai_client.models.generate_content(
-                model="gemini-2.0-flash-001",
-                contents=history,
-                config=GenerateContentConfig(
-                    system_instruction=prompt,
-                    tools=genai_tools,
-                ),
-            )
-            history.append(response.candidates[0].content)
-            function_response_parts = []
-            for function_call in response.function_calls:
-                fn_name = function_call.name
-                # The tools are sorted alphabetically
-                if fn_name == "search-hotels-by-name":
-                    function_result = await toolbox_tools[3](**function_call.args)
-                elif fn_name == "search-hotels-by-location":
-                    function_result = await toolbox_tools[2](**function_call.args)
-                elif fn_name == "book-hotel":
-                    function_result = await toolbox_tools[0](**function_call.args)
-                elif fn_name == "update-hotel":
-                    function_result = await toolbox_tools[4](**function_call.args)
-                elif fn_name == "cancel-hotel":
-                    function_result = await toolbox_tools[1](**function_call.args)
-                else:
-                    raise ValueError("Function name not present.")
-                function_response = {"result": function_result}
-                function_response_part = Part.from_function_response(
-                    name=function_call.name,
-                    response=function_response,
-                )
-                function_response_parts.append(function_response_part)
-
-            if function_response_parts:
-                tool_response_content = Content(role="tool", parts=function_response_parts)
-                history.append(tool_response_content)
-
-            response2 = genai_client.models.generate_content(
-                model="gemini-2.0-flash-001",
-                contents=history,
-                config=GenerateContentConfig(
-                    tools=genai_tools,
-                ),
-            )
-            final_model_response_content = response2.candidates[0].content
-            history.append(final_model_response_content)
-            print(response2.text)
-
-asyncio.run(run_application())

docs/en/getting-started/quickstart/python/langchain/quickstart.py

@@ -1,52 +0,0 @@
-import asyncio
-
-from langgraph.prebuilt import create_react_agent
-
-# TODO(developer): replace this with another import if needed
-
-from langchain_google_vertexai import ChatVertexAI
-
-# from langchain_google_genai import ChatGoogleGenerativeAI
-
-# from langchain_anthropic import ChatAnthropic
-
-from langgraph.checkpoint.memory import MemorySaver
-
-from toolbox_langchain import ToolboxClient
-
-prompt = """
-  You're a helpful hotel assistant. You handle hotel searching, booking and
-  cancellations. When the user searches for a hotel, mention it's name, id,
-  location and price tier. Always mention hotel ids while performing any
-  searches. This is very important for any operations. For any bookings or
-  cancellations, please provide the appropriate confirmation. Be sure to
-  update checkin or checkout dates if mentioned by the user.
-  Don't ask for confirmations from the user.
-"""
-
-queries = [
-    "Find hotels in Basel with Basel in its name.",
-    "Can you book the Hilton Basel for me?",
-    "Oh wait, this is too expensive. Please cancel it and book the Hyatt Regency instead.",
-    "My check in dates would be from April 10, 2024 to April 19, 2024.",
-]
-
-async def run_application():
-    # TODO(developer): replace this with another model if needed
-    model = ChatVertexAI(model_name="gemini-2.0-flash-001")
-    # model = ChatGoogleGenerativeAI(model="gemini-2.0-flash-001")
-    # model = ChatAnthropic(model="claude-3-5-sonnet-20240620")
-
-    # Load the tools from the Toolbox server
-    async with ToolboxClient("http://127.0.0.1:5000") as client:
-        tools = await client.aload_toolset()
-
-        agent = create_react_agent(model, tools, checkpointer=MemorySaver())
-
-        config = {"configurable": {"thread_id": "thread-1"}}
-        for query in queries:
-            inputs = {"messages": [("user", prompt + query)]}
-            response = agent.invoke(inputs, stream_mode="values", config=config)
-            print(response["messages"][-1].content)
-
-asyncio.run(run_application())

docs/en/getting-started/quickstart/python/llamaindex/quickstart.py

@@ -1,63 +0,0 @@
-import asyncio
-import os
-
-from llama_index.core.agent.workflow import AgentWorkflow
-
-from llama_index.core.workflow import Context
-
-# TODO(developer): replace this with another import if needed
-
-from llama_index.llms.google_genai import GoogleGenAI
-
-# from llama_index.llms.anthropic import Anthropic
-
-from toolbox_llamaindex import ToolboxClient
-
-prompt = """
-  You're a helpful hotel assistant. You handle hotel searching, booking and
-  cancellations. When the user searches for a hotel, mention it's name, id,
-  location and price tier. Always mention hotel ids while performing any
-  searches. This is very important for any operations. For any bookings or
-  cancellations, please provide the appropriate confirmation. Be sure to
-  update checkin or checkout dates if mentioned by the user.
-  Don't ask for confirmations from the user.
-"""
-
-queries = [
-    "Find hotels in Basel with Basel in its name.",
-    "Can you book the Hilton Basel for me?",
-    "Oh wait, this is too expensive. Please cancel it and book the Hyatt Regency instead.",
-    "My check in dates would be from April 10, 2024 to April 19, 2024.",
-]
-
-async def run_application():
-    # TODO(developer): replace this with another model if needed
-    llm = GoogleGenAI(
-        model="gemini-2.0-flash-001",
-        vertexai_config={"project": "project-id", "location": "us-central1"},
-    )
-    # llm = GoogleGenAI(
-    #     api_key=os.getenv("GOOGLE_API_KEY"),
-    #     model="gemini-2.0-flash-001",
-    # )
-    # llm = Anthropic(
-    #   model="claude-3-7-sonnet-latest",
-    #   api_key=os.getenv("ANTHROPIC_API_KEY")
-    # )
-
-    # Load the tools from the Toolbox server
-    async with ToolboxClient("http://127.0.0.1:5000") as client:
-        tools = await client.aload_toolset()
-
-        agent = AgentWorkflow.from_tools_or_functions(
-            tools,
-            llm=llm,
-            system_prompt=prompt,
-        )
-        ctx = Context(agent)
-        for query in queries:
-            response = await agent.run(user_msg=query, ctx=ctx)
-            print(f"---- {query} ----")
-            print(str(response))
-
-asyncio.run(run_application())

docs/en/getting-started/test.py

@@ -1,8 +0,0 @@
-# [START demo]
-a = 5
-b = 6
-# print('hello' + c)
-print ('This file is used for demo of include shortcodes')
-# [END demo]
-
-

docs/en/how-to/connect-ide/alloydb_pg_admin_mcp.md

@@ -1,14 +0,0 @@
----
-title: "AlloyDB Admin API using MCP"
-type: docs
-weight: 2
-description: >
-  Create your AlloyDB database with MCP Toolbox.
----
-
-<html>
-  <head>
-    <link rel="canonical" href="https://cloud.google.com/alloydb/docs/create-database-with-mcp-toolbox"/>
-    <meta http-equiv="refresh" content="0;url=https://cloud.google.com/alloydb/docs/create-database-with-mcp-toolbox"/>
-  </head>
-</html>

docs/en/how-to/connect-ide/alloydb_pg_mcp.md

@@ -7,7 +7,7 @@ description: >
 ---
 <html>
   <head>
-    <link rel="canonical" href="https://cloud.google.com/alloydb/docs/connect-ide-using-mcp-toolbox"/>
-    <meta http-equiv="refresh" content="0;url=https://cloud.google.com/alloydb/docs/connect-ide-using-mcp-toolbox"/>
+    <link rel="canonical" href="https://cloud.google.com/alloydb/docs/pre-built-tools-with-mcp-toolbox"/>
+    <meta http-equiv="refresh" content="0;url=https://cloud.google.com/alloydb/docs/pre-built-tools-with-mcp-toolbox"/>
   </head>
 </html>

docs/en/how-to/connect-ide/firestore_mcp.md

@@ -1,333 +0,0 @@
----
-title: "Firestore using MCP"
-type: docs
-weight: 2
-description: >
-  Connect your IDE to Firestore using Toolbox.
----
-
-[Model Context Protocol (MCP)](https://modelcontextprotocol.io/introduction) is
-an open protocol for connecting Large Language Models (LLMs) to data sources
-like Firestore. This guide covers how to use [MCP Toolbox for Databases][toolbox]
-to expose your developer assistant tools to a Firestore instance:
-
-* [Cursor][cursor]
-* [Windsurf][windsurf] (Codium)
-* [Visual Studio Code][vscode] (Copilot)
-* [Cline][cline]  (VS Code extension)
-* [Claude desktop][claudedesktop]
-* [Claude code][claudecode]
-* [Gemini CLI][geminicli]
-* [Gemini Code Assist][geminicodeassist]
-
-[toolbox]: https://github.com/googleapis/genai-toolbox
-[cursor]: #configure-your-mcp-client
-[windsurf]: #configure-your-mcp-client
-[vscode]: #configure-your-mcp-client
-[cline]: #configure-your-mcp-client
-[claudedesktop]: #configure-your-mcp-client
-[claudecode]: #configure-your-mcp-client
-[geminicli]: #configure-your-mcp-client
-[geminicodeassist]: #configure-your-mcp-client
-
-## Set up Firestore
-
-1. Create or select a Google Cloud project.
-
-    * [Create a new
-      project](https://cloud.google.com/resource-manager/docs/creating-managing-projects)
-    * [Select an existing
-      project](https://cloud.google.com/resource-manager/docs/creating-managing-projects#identifying_projects)
-
-1. [Enable the Firestore
-   API](https://console.cloud.google.com/apis/library/firestore.googleapis.com)
-   for your project.
-
-1. [Create a Firestore
-   database](https://cloud.google.com/firestore/docs/create-database-web-mobile-client-library)
-   if you haven't already.
-
-1. Set up authentication for your local environment.
-
-    * [Install gcloud CLI](https://cloud.google.com/sdk/docs/install)
-    * Run `gcloud auth application-default login` to authenticate
-
-## Install MCP Toolbox
-
-1. Download the latest version of Toolbox as a binary. Select the [correct
-   binary](https://github.com/googleapis/genai-toolbox/releases) corresponding
-   to your OS and CPU architecture. You are required to use Toolbox version
-   V0.10.0+:
-
-   <!-- {x-release-please-start-version} -->
-   {{< tabpane persist=header >}}
-{{< tab header="linux/amd64" lang="bash" >}}
-curl -O https://storage.googleapis.com/genai-toolbox/v0.12.0/linux/amd64/toolbox
-{{< /tab >}}
-
-{{< tab header="darwin/arm64" lang="bash" >}}
-curl -O https://storage.googleapis.com/genai-toolbox/v0.12.0/darwin/arm64/toolbox
-{{< /tab >}}
-
-{{< tab header="darwin/amd64" lang="bash" >}}
-curl -O https://storage.googleapis.com/genai-toolbox/v0.12.0/darwin/amd64/toolbox
-{{< /tab >}}
-
-{{< tab header="windows/amd64" lang="bash" >}}
-curl -O https://storage.googleapis.com/genai-toolbox/v0.12.0/windows/amd64/toolbox
-{{< /tab >}}
-{{< /tabpane >}}
-    <!-- {x-release-please-end} -->
-
-1. Make the binary executable:
-
-    ```bash
-    chmod +x toolbox
-    ```
-
-1. Verify the installation:
-
-    ```bash
-    ./toolbox --version
-    ```
-
-## Configure your MCP Client
-
-{{< tabpane text=true >}}
-{{% tab header="Claude code" lang="en" %}}
-
-1. Install [Claude
-   Code](https://docs.anthropic.com/en/docs/agents-and-tools/claude-code/overview).
-1. Create a `.mcp.json` file in your project root if it doesn't exist.
-1. Add the following configuration, replace the environment variables with your
-   values, and save:
-
-    ```json
-    {
-      "mcpServers": {
-        "firestore": {
-          "command": "./PATH/TO/toolbox",
-          "args": ["--prebuilt","firestore","--stdio"],
-          "env": {
-            "FIRESTORE_PROJECT": "your-project-id",
-            "FIRESTORE_DATABASE": "(default)"
-          }
-        }
-      }
-    }
-    ```
-
-1. Restart Claude code to apply the new configuration.
-{{% /tab %}}
-
-{{% tab header="Claude desktop" lang="en" %}}
-
-1. Open [Claude desktop](https://claude.ai/download) and navigate to Settings.
-1. Under the Developer tab, tap Edit Config to open the configuration file.
-1. Add the following configuration, replace the environment variables with your
-   values, and save:
-
-    ```json
-    {
-      "mcpServers": {
-        "firestore": {
-          "command": "./PATH/TO/toolbox",
-          "args": ["--prebuilt","firestore","--stdio"],
-          "env": {
-            "FIRESTORE_PROJECT": "your-project-id",
-            "FIRESTORE_DATABASE": "(default)"
-          }
-        }
-      }
-    }
-    ```
-
-1. Restart Claude desktop.
-1. From the new chat screen, you should see a hammer (MCP) icon appear with the
-   new MCP server available.
-{{% /tab %}}
-
-{{% tab header="Cline" lang="en" %}}
-
-1. Open the [Cline](https://github.com/cline/cline) extension in VS Code and tap
-   the **MCP Servers** icon.
-1. Tap Configure MCP Servers to open the configuration file.
-1. Add the following configuration, replace the environment variables with your
-   values, and save:
-
-    ```json
-    {
-      "mcpServers": {
-        "firestore": {
-          "command": "./PATH/TO/toolbox",
-          "args": ["--prebuilt","firestore","--stdio"],
-          "env": {
-            "FIRESTORE_PROJECT": "your-project-id",
-            "FIRESTORE_DATABASE": "(default)"
-          }
-        }
-      }
-    }
-    ```
-
-1. You should see a green active status after the server is successfully
-   connected.
-{{% /tab %}}
-
-{{% tab header="Cursor" lang="en" %}}
-
-1. Create a `.cursor` directory in your project root if it doesn't exist.
-1. Create a `.cursor/mcp.json` file if it doesn't exist and open it.
-1. Add the following configuration, replace the environment variables with your
-   values, and save:
-
-    ```json
-    {
-      "mcpServers": {
-        "firestore": {
-          "command": "./PATH/TO/toolbox",
-          "args": ["--prebuilt","firestore","--stdio"],
-          "env": {
-            "FIRESTORE_PROJECT": "your-project-id",
-            "FIRESTORE_DATABASE": "(default)"
-          }
-        }
-      }
-    }
-    ```
-
-1. [Cursor](https://www.cursor.com/) and navigate to **Settings > Cursor
-   Settings > MCP**. You should see a green active status after the server is
-   successfully connected.
-{{% /tab %}}
-
-{{% tab header="Visual Studio Code (Copilot)" lang="en" %}}
-
-1. Open [VS Code](https://code.visualstudio.com/docs/copilot/overview) and
-   create a `.vscode` directory in your project root if it doesn't exist.
-1. Create a `.vscode/mcp.json` file if it doesn't exist and open it.
-1. Add the following configuration, replace the environment variables with your
-   values, and save:
-
-    ```json
-    {
-      "mcpServers": {
-        "firestore": {
-          "command": "./PATH/TO/toolbox",
-          "args": ["--prebuilt","firestore","--stdio"],
-          "env": {
-            "FIRESTORE_PROJECT": "your-project-id",
-            "FIRESTORE_DATABASE": "(default)"
-          }
-        }
-      }
-    }
-    ```
-
-{{% /tab %}}
-
-{{% tab header="Windsurf" lang="en" %}}
-
-1. Open [Windsurf](https://docs.codeium.com/windsurf) and navigate to the
-   Cascade assistant.
-1. Tap on the hammer (MCP) icon, then Configure to open the configuration file.
-1. Add the following configuration, replace the environment variables with your
-   values, and save:
-
-    ```json
-    {
-      "mcpServers": {
-        "firestore": {
-          "command": "./PATH/TO/toolbox",
-          "args": ["--prebuilt","firestore","--stdio"],
-          "env": {
-            "FIRESTORE_PROJECT": "your-project-id",
-            "FIRESTORE_DATABASE": "(default)"
-          }
-        }
-      }
-    }
-
-    ```
-
-{{% /tab %}}
-{{% tab header="Gemini CLI" lang="en" %}}
-
-1. Install the [Gemini
-   CLI](https://github.com/google-gemini/gemini-cli?tab=readme-ov-file#quickstart).
-1. In your working directory, create a folder named `.gemini`. Within it, create
-   a `settings.json` file.
-1. Add the following configuration, replace the environment variables with your
-   values, and then save:
-
-    ```json
-    {
-      "mcpServers": {
-        "firestore": {
-          "command": "./PATH/TO/toolbox",
-          "args": ["--prebuilt","firestore","--stdio"],
-          "env": {
-            "FIRESTORE_PROJECT": "your-project-id",
-            "FIRESTORE_DATABASE": "(default)"
-          }
-        }
-      }
-    }
-
-    ```
-
-{{% /tab %}}
-{{% tab header="Gemini Code Assist" lang="en" %}}
-
-1. Install the [Gemini Code
-   Assist](https://marketplace.visualstudio.com/items?itemName=Google.geminicodeassist)
-   extension in Visual Studio Code.
-1. Enable Agent Mode in Gemini Code Assist chat.
-1. In your working directory, create a folder named `.gemini`. Within it, create
-   a `settings.json` file.
-1. Add the following configuration, replace the environment variables with your
-   values, and then save:
-
-    ```json
-    {
-      "mcpServers": {
-        "firestore": {
-          "command": "./PATH/TO/toolbox",
-          "args": ["--prebuilt","firestore","--stdio"],
-          "env": {
-            "FIRESTORE_PROJECT": "your-project-id",
-            "FIRESTORE_DATABASE": "(default)"
-          }
-        }
-      }
-    }
-
-    ```
-
-{{% /tab %}}
-{{< /tabpane >}}
-
-## Use Tools
-
-Your AI tool is now connected to Firestore using MCP. Try asking your AI
-assistant to list collections, get documents, query collections, or manage
-security rules.
-
-The following tools are available to the LLM:
-
-1. **firestore-get-documents**: Gets multiple documents from Firestore by their
-   paths
-1. **firestore-list-collections**: List Firestore collections for a given parent
-   path
-1. **firestore-delete-documents**: Delete multiple documents from Firestore
-1. **firestore-query-collection**: Query documents from a collection with
-   filtering, ordering, and limit options
-1. **firestore-get-rules**: Retrieves the active Firestore security rules for
-   the current project
-1. **firestore-validate-rules**: Validates Firestore security rules syntax and
-   errors
-
-{{< notice note >}}
-Prebuilt tools are pre-1.0, so expect some tool changes between versions. LLMs
-will adapt to the tools available, so this shouldn't affect most users.
-{{< /notice >}}

docs/en/how-to/connect-ide/looker_mcp.md

@@ -1,276 +0,0 @@
----
-title: "Looker using MCP"
-type: docs
-weight: 2
-description: >
-  Connect your IDE to Looker using Toolbox.
----
-
-[Model Context Protocol (MCP)](https://modelcontextprotocol.io/introduction) is
-an open protocol for connecting Large Language Models (LLMs) to data sources
-like Postgres. This guide covers how to use [MCP Toolbox for Databases][toolbox]
-to expose your developer assistant tools to a Looker instance:
-
-* [Cursor][cursor]
-* [Windsurf][windsurf] (Codium)
-* [Visual Studio Code][vscode] (Copilot)
-* [Cline][cline] (VS Code extension)
-* [Claude desktop][claudedesktop]
-* [Claude code][claudecode]
-
-[toolbox]: https://github.com/googleapis/genai-toolbox
-[cursor]: #configure-your-mcp-client
-[windsurf]: #configure-your-mcp-client
-[vscode]: #configure-your-mcp-client
-[cline]: #configure-your-mcp-client
-[claudedesktop]: #configure-your-mcp-client
-[claudecode]: #configure-your-mcp-client
-
-## Set up Looker
-
-1. Get a Looker Client ID and Client Secret. Follow the directions
-   [here](https://cloud.google.com/looker/docs/api-auth#authentication_with_an_sdk).
-
-1. Have the base URL of your Looker instance available. It is likely
-   something like `https://looker.example.com`. In some cases the API is
-   listening at a different port, and you will need to use
-   `https://looker.example.com:19999` instead.
-
-## Install MCP Toolbox
-
-1. Download the latest version of Toolbox as a binary. Select the [correct
-   binary](https://github.com/googleapis/genai-toolbox/releases) corresponding
-   to your OS and CPU architecture. You are required to use Toolbox version
-   v0.10.0+:
-
-   <!-- {x-release-please-start-version} -->
-{{< tabpane persist=header >}}
-{{< tab header="linux/amd64" lang="bash" >}}
-curl -O https://storage.googleapis.com/genai-toolbox/v0.12.0/linux/amd64/toolbox
-{{< /tab >}}
-
-{{< tab header="darwin/arm64" lang="bash" >}}
-curl -O https://storage.googleapis.com/genai-toolbox/v0.12.0/darwin/arm64/toolbox
-{{< /tab >}}
-
-{{< tab header="darwin/amd64" lang="bash" >}}
-curl -O https://storage.googleapis.com/genai-toolbox/v0.12.0/darwin/amd64/toolbox
-{{< /tab >}}
-
-{{< tab header="windows/amd64" lang="bash" >}}
-curl -O https://storage.googleapis.com/genai-toolbox/v0.12.0/windows/amd64/toolbox.exe
-{{< /tab >}}
-{{< /tabpane >}}
-    <!-- {x-release-please-end} -->
-
-1. Make the binary executable:
-
-    ```bash
-    chmod +x toolbox
-    ```
-
-1. Verify the installation:
-
-    ```bash
-    ./toolbox --version
-    ```
-
-## Configure your MCP Client
-
-{{< tabpane text=true >}}
-{{% tab header="Claude code" lang="en" %}}
-
-1. Install [Claude
-   Code](https://docs.anthropic.com/en/docs/agents-and-tools/claude-code/overview).
-1. Create a `.mcp.json` file in your project root if it doesn't exist.
-1. Add the following configuration, replace the environment variables with your
-   values, and save:
-
-    ```json
-    {
-      "mcpServers": {
-        "looker-toolbox": {
-          "command": "./PATH/TO/toolbox",
-          "args": ["--stdio", "--prebuilt", "looker"],
-          "env": {
-            "LOOKER_BASE_URL": "https://looker.example.com",
-            "LOOKER_CLIENT_ID": "",
-            "LOOKER_CLIENT_SECRET": "",
-            "LOOKER_VERIFY_SSL": "true"
-          }
-        }
-      }
-    }
-    ```
-
-1. Restart Claude Code to apply the new configuration.
-{{% /tab %}}
-
-{{% tab header="Claude desktop" lang="en" %}}
-
-1. Open [Claude desktop](https://claude.ai/download) and navigate to Settings.
-1. Under the Developer tab, tap Edit Config to open the configuration file.
-1. Add the following configuration, replace the environment variables with your
-   values, and save:
-
-    ```json
-    {
-      "mcpServers": {
-        "looker-toolbox": {
-          "command": "./PATH/TO/toolbox",
-          "args": ["--stdio", "--prebuilt", "looker"],
-          "env": {
-            "LOOKER_BASE_URL": "https://looker.example.com",
-            "LOOKER_CLIENT_ID": "",
-            "LOOKER_CLIENT_SECRET": "",
-            "LOOKER_VERIFY_SSL": "true"
-          }
-        }
-      }
-    }
-    ```
-
-1. Restart Claude desktop.
-1. From the new chat screen, you should see a hammer (MCP) icon appear with the
-   new MCP server available.
-{{% /tab %}}
-
-{{% tab header="Cline" lang="en" %}}
-
-1. Open the [Cline](https://github.com/cline/cline) extension in VS Code and tap
-   the **MCP Servers** icon.
-1. Tap Configure MCP Servers to open the configuration file.
-1. Add the following configuration, replace the environment variables with your
-   values, and save:
-
-    ```json
-    {
-      "mcpServers": {
-        "looker-toolbox": {
-          "command": "./PATH/TO/toolbox",
-          "args": ["--stdio", "--prebuilt", "looker"],
-          "env": {
-            "LOOKER_BASE_URL": "https://looker.example.com",
-            "LOOKER_CLIENT_ID": "",
-            "LOOKER_CLIENT_SECRET": "",
-            "LOOKER_VERIFY_SSL": "true"
-          }
-        }
-      }
-    }
-    ```
-
-1. You should see a green active status after the server is successfully
-   connected.
-{{% /tab %}}
-
-{{% tab header="Cursor" lang="en" %}}
-
-1. Create a `.cursor` directory in your project root if it doesn't exist.
-1. Create a `.cursor/mcp.json` file if it doesn't exist and open it.
-1. Add the following configuration, replace the environment variables with your
-   values, and save:
-
-    ```json
-    {
-      "mcpServers": {
-        "looker-toolbox": {
-          "command": "./PATH/TO/toolbox",
-          "args": ["--stdio", "--prebuilt", "looker"],
-          "env": {
-            "LOOKER_BASE_URL": "https://looker.example.com",
-            "LOOKER_CLIENT_ID": "",
-            "LOOKER_CLIENT_SECRET": "",
-            "LOOKER_VERIFY_SSL": "true"
-          }
-        }
-      }
-    }
-    ```
-
-1. Open [Cursor](https://www.cursor.com/) and navigate to **Settings > Cursor
-   Settings > MCP**. You should see a green active status after the server is
-   successfully connected.
-{{% /tab %}}
-
-{{% tab header="Visual Studio Code (Copilot)" lang="en" %}}
-
-1. Open [VS Code](https://code.visualstudio.com/docs/copilot/overview) and
-   create a `.vscode` directory in your project root if it doesn't exist.
-1. Create a `.vscode/mcp.json` file if it doesn't exist and open it.
-1. Add the following configuration, replace the environment variables with your
-   values, and save:
-
-    ```json
-    {
-      "mcpServers": {
-        "looker-toolbox": {
-          "command": "./PATH/TO/toolbox",
-          "args": ["--stdio", "--prebuilt", "looker"],
-          "env": {
-            "LOOKER_BASE_URL": "https://looker.example.com",
-            "LOOKER_CLIENT_ID": "",
-            "LOOKER_CLIENT_SECRET": "",
-            "LOOKER_VERIFY_SSL": "true"
-          }
-        }
-      }
-    }
-    ```
-
-{{% /tab %}}
-
-{{% tab header="Windsurf" lang="en" %}}
-
-1. Open [Windsurf](https://docs.codeium.com/windsurf) and navigate to the
-   Cascade assistant.
-1. Tap on the hammer (MCP) icon, then Configure to open the configuration file.
-1. Add the following configuration, replace the environment variables with your
-   values, and save:
-
-    ```json
-    {
-      "mcpServers": {
-        "looker-toolbox": {
-          "command": "./PATH/TO/toolbox",
-          "args": ["--stdio", "--prebuilt", "looker"],
-          "env": {
-            "LOOKER_BASE_URL": "https://looker.example.com",
-            "LOOKER_CLIENT_ID": "",
-            "LOOKER_CLIENT_SECRET": "",
-            "LOOKER_VERIFY_SSL": "true"
-          }
-        }
-      }
-    }
-
-    ```
-
-{{% /tab %}}
-{{< /tabpane >}}
-
-## Use Tools
-
-Your AI tool is now connected to Looker using MCP. Try asking your AI
-assistant to list models, explores, dimensions, and measures. Run a
-query, retrieve the SQL for a query, and run a saved Look.
-
-The following tools are available to the LLM:
-
-1. **get_models**: list the LookML models in Looker
-1. **get_explores**: list the explores in a given model
-1. **get_dimensions**: list the dimensions in a given explore
-1. **get_measures**: list the measures in a given explore
-1. **get_filters**: list the filters in a given explore
-1. **get_parameters**: list the parameters in a given explore
-1. **query**: Run a query and return the data
-1. **query_sql**: Return the SQL generated by Looker for a query
-1. **query_url**: Return a link to the query in Looker for further exploration
-1. **get_looks**: Return the saved Looks that match a title or description
-1. **run_look**: Run a saved Look and return the data
-1. **make_look**: Create a saved Look in Looker and return the URL
-
-{{< notice note >}}
-Prebuilt tools are pre-1.0, so expect some tool changes between versions. LLMs
-will adapt to the tools available, so this shouldn't affect most users.
-{{< /notice >}}

docs/en/how-to/connect-ide/mssql_mcp.md

@@ -1,289 +0,0 @@
----
-title: SQL Server using MCP
-type: docs
-weight: 2
-description: "Connect your IDE to SQL Server using Toolbox."
----
-
-[Model Context Protocol (MCP)](https://modelcontextprotocol.io/introduction) is an open protocol for connecting Large Language Models (LLMs) to data sources like SQL Server. This guide covers how to use [MCP Toolbox for Databases][toolbox] to expose your developer assistant tools to a SQL Server instance:
-
-* [Cursor][cursor]
-* [Windsurf][windsurf] (Codium)
-* [Visual Studio Code][vscode] (Copilot)
-* [Cline][cline] (VS Code extension)
-* [Claude desktop][claudedesktop]
-* [Claude code][claudecode]
-* [Gemini CLI][geminicli]
-* [Gemini Code Assist][geminicodeassist]
-
-[toolbox]: https://github.com/googleapis/genai-toolbox
-[cursor]: #configure-your-mcp-client
-[windsurf]: #configure-your-mcp-client
-[vscode]: #configure-your-mcp-client
-[cline]: #configure-your-mcp-client
-[claudedesktop]: #configure-your-mcp-client
-[claudecode]: #configure-your-mcp-client
-[geminicli]: #configure-your-mcp-client
-[geminicodeassist]: #configure-your-mcp-client
-
-## Set up the database
-
-1.  [Create or select a SQL Server instance.](https://www.microsoft.com/en-us/sql-server/sql-server-downloads)
-
-## Install MCP Toolbox
-
-1. Download the latest version of Toolbox as a binary. Select the [correct binary](https://github.com/googleapis/genai-toolbox/releases) corresponding to your OS and CPU architecture. You are required to use Toolbox version V0.10.0+:
-
-   <!-- {x-release-please-start-version} -->
-   {{< tabpane persist=header >}}
-{{< tab header="linux/amd64" lang="bash" >}}
-curl -O https://storage.googleapis.com/genai-toolbox/v0.12.0/linux/amd64/toolbox
-{{< /tab >}}
-
-{{< tab header="darwin/arm64" lang="bash" >}}
-curl -O https://storage.googleapis.com/genai-toolbox/v0.12.0/darwin/arm64/toolbox
-{{< /tab >}}
-
-{{< tab header="darwin/amd64" lang="bash" >}}
-curl -O https://storage.googleapis.com/genai-toolbox/v0.12.0/darwin/amd64/toolbox
-{{< /tab >}}
-
-{{< tab header="windows/amd64" lang="bash" >}}
-curl -O https://storage.googleapis.com/genai-toolbox/v0.12.0/windows/amd64/toolbox.exe
-{{< /tab >}}
-{{< /tabpane >}}
-    <!-- {x-release-please-end} -->
-
-1. Make the binary executable:
-
-    ```bash
-    chmod +x toolbox
-    ```
-
-1. Verify the installation:
-
-    ```bash
-    ./toolbox --version
-    ```
-
-## Configure your MCP Client
-
-{{< tabpane text=true >}}
-{{% tab header="Claude code" lang="en" %}}
-
-1.  Install [Claude Code](https://docs.anthropic.com/en/docs/agents-and-tools/claude-code/overview).
-1.  Create a `.mcp.json` file in your project root if it doesn't exist.
-1.  Add the following configuration, replace the environment variables with your values, and save:
-
-    ```json
-    {
-      "mcpServers": {
-        "sqlserver": {
-          "command": "./PATH/TO/toolbox",
-          "args": ["--prebuilt","mssql","--stdio"],
-          "env": {
-            "MSSQL_HOST": "",
-            "MSSQL_PORT": "",
-            "MSSQL_DATABASE": "",
-            "MSSQL_USER": "",
-            "MSSQL_PASSWORD": ""
-          }
-        }
-      }
-    }
-    ```
-
-1.  Restart Claude code to apply the new configuration.
-{{% /tab %}}
-{{% tab header="Claude desktop" lang="en" %}}
-
-1.  Open [Claude desktop](https://claude.ai/download) and navigate to Settings.
-1.  Under the Developer tab, tap Edit Config to open the configuration file.
-1.  Add the following configuration, replace the environment variables with your values, and save:
-
-    ```json
-    {
-      "mcpServers": {
-        "sqlserver": {
-          "command": "./PATH/TO/toolbox",
-          "args": ["--prebuilt","mssql","--stdio"],
-          "env": {
-            "MSSQL_HOST": "",
-            "MSSQL_PORT": "",
-            "MSSQL_DATABASE": "",
-            "MSSQL_USER": "",
-            "MSSQL_PASSWORD": ""
-          }
-        }
-      }
-    }
-    ```
-
-1.  Restart Claude desktop.
-1.  From the new chat screen, you should see a hammer (MCP) icon appear with the new MCP server available.
-{{% /tab %}}
-{{% tab header="Cline" lang="en" %}}
-
-1.  Open the [Cline](https://github.com/cline/cline) extension in VS Code and tap the **MCP Servers** icon.
-1.  Tap Configure MCP Servers to open the configuration file.
-1.  Add the following configuration, replace the environment variables with your values, and save:
-
-    ```json
-    {
-      "mcpServers": {
-        "sqlserver": {
-          "command": "./PATH/TO/toolbox",
-          "args": ["--prebuilt","mssql","--stdio"],
-          "env": {
-            "MSSQL_HOST": "",
-            "MSSQL_PORT": "",
-            "MSSQL_DATABASE": "",
-            "MSSQL_USER": "",
-            "MSSQL_PASSWORD": ""
-          }
-        }
-      }
-    }
-    ```
-
-1.  You should see a green active status after the server is successfully connected.
-{{% /tab %}}
-{{% tab header="Cursor" lang="en" %}}
-
-1.  Create a `.cursor` directory in your project root if it doesn't exist.
-1.  Create a `.cursor/mcp.json` file if it doesn't exist and open it.
-1.  Add the following configuration, replace the environment variables with your values, and save:
-
-    ```json
-    {
-      "mcpServers": {
-        "sqlserver": {
-          "command": "./PATH/TO/toolbox",
-          "args": ["--prebuilt","mssql","--stdio"],
-          "env": {
-            "MSSQL_HOST": "",
-            "MSSQL_PORT": "",
-            "MSSQL_DATABASE": "",
-            "MSSQL_USER": "",
-            "MSSQL_PASSWORD": ""
-          }
-        }
-      }
-    }
-    ```
-
-1.  Open [Cursor](https://www.cursor.com/) and navigate to **Settings > Cursor Settings > MCP**. You should see a green active status after the server is successfully connected.
-{{% /tab %}}
-{{% tab header="Visual Studio Code (Copilot)" lang="en" %}}
-
-1.  Open [VS Code](https://code.visualstudio.com/docs/copilot/overview) and create a `.vscode` directory in your project root if it doesn't exist.
-1.  Create a `.vscode/mcp.json` file if it doesn't exist and open it.
-1.  Add the following configuration, replace the environment variables with your values, and save:
-
-    ```json
-    {
-    "mcp" : {
-        "servers": {
-        "cloud-sql-sqlserver": {
-            "command": "./PATH/TO/toolbox",
-            "args": ["--prebuilt","cloud-sql-mssql","--stdio"],
-            "env": {
-              "MSSQL_HOST": "",
-              "MSSQL_PORT": "",
-              "MSSQL_DATABASE": "",
-              "MSSQL_USER": "",
-              "MSSQL_PASSWORD": ""
-            }
-         }
-        }
-      }
-    }
-    ```
-{{% /tab %}}
-{{% tab header="Windsurf" lang="en" %}}
-
-1.  Open [Windsurf](https://docs.codeium.com/windsurf) and navigate to the Cascade assistant.
-1.  Tap on the hammer (MCP) icon, then Configure to open the configuration file.
-1.  Add the following configuration, replace the environment variables with your values, and save:
-
-    ```json
-    {
-      "mcpServers": {
-        "sqlserver": {
-          "command": "./PATH/TO/toolbox",
-          "args": ["--prebuilt","mssql","--stdio"],
-          "env": {
-            "MSSQL_HOST": "",
-            "MSSQL_PORT": "",
-            "MSSQL_DATABASE": "",
-            "MSSQL_USER": "",
-            "MSSQL_PASSWORD": ""
-          }
-        }
-      }
-    }
-    ```
-{{% /tab %}}
-{{% tab header="Gemini CLI" lang="en" %}}
-
-1.  Install the [Gemini CLI](https://github.com/google-gemini/gemini-cli?tab=readme-ov-file#quickstart).
-1.  In your working directory, create a folder named `.gemini`. Within it, create a `settings.json` file.
-1.  Add the following configuration, replace the environment variables with your values, and then save:
-
-    ```json
-    {
-      "mcpServers": {
-        "sqlserver": {
-          "command": "./PATH/TO/toolbox",
-          "args": ["--prebuilt","mssql","--stdio"],
-          "env": {
-            "MSSQL_HOST": "",
-            "MSSQL_PORT": "",
-            "MSSQL_DATABASE": "",
-            "MSSQL_USER": "",
-            "MSSQL_PASSWORD": ""
-          }
-        }
-      }
-    }
-    ```
-{{% /tab %}}
-{{% tab header="Gemini Code Assist" lang="en" %}}
-
-1.  Install the [Gemini Code Assist](https://marketplace.visualstudio.com/items?itemName=Google.geminicodeassist) extension in Visual Studio Code.
-1.  Enable Agent Mode in Gemini Code Assist chat.
-1.  In your working directory, create a folder named `.gemini`. Within it, create a `settings.json` file.
-1.  Add the following configuration, replace the environment variables with your values, and then save:
-
-    ```json
-    {
-      "mcpServers": {
-        "sqlserver": {
-          "command": "./PATH/TO/toolbox",
-          "args": ["--prebuilt","mssql","--stdio"],
-          "env": {
-            "MSSQL_HOST": "",
-            "MSSQL_PORT": "",
-            "MSSQL_DATABASE": "",
-            "MSSQL_USER": "",
-            "MSSQL_PASSWORD": ""
-          }
-        }
-      }
-    }
-    ```
-{{% /tab %}}
-{{< /tabpane >}}
-
-## Use Tools
-
-Your AI tool is now connected to SQL Server using MCP. Try asking your AI assistant to list tables, create a table, or define and execute other SQL statements.
-
-The following tools are available to the LLM:
-
-1.  **list_tables**: lists tables and descriptions
-1.  **execute_sql**: execute any SQL statement
-
-{{< notice note >}}
-Prebuilt tools are pre-1.0, so expect some tool changes between versions. LLMs will adapt to the tools available, so this shouldn't affect most users.
-{{< /notice >}}

docs/en/how-to/connect-ide/mysql_mcp.md

@@ -1,287 +0,0 @@
----
-title: MySQL using MCP
-type: docs
-weight: 2
-description: "Connect your IDE to MySQL using Toolbox."
----
-
-[Model Context Protocol (MCP)](https://modelcontextprotocol.io/introduction) is an open protocol for connecting Large Language Models (LLMs) to data sources like MySQL. This guide covers how to use [MCP Toolbox for Databases][toolbox] to expose your developer assistant tools to a MySQL instance:
-
-* [Cursor][cursor]
-* [Windsurf][windsurf] (Codium)
-* [Visual Studio Code][vscode] (Copilot)
-* [Cline][cline] (VS Code extension)
-* [Claude desktop][claudedesktop]
-* [Claude code][claudecode]
-* [Gemini CLI][geminicli]
-* [Gemini Code Assist][geminicodeassist]
-
-[toolbox]: https://github.com/googleapis/genai-toolbox
-[cursor]: #configure-your-mcp-client
-[windsurf]: #configure-your-mcp-client
-[vscode]: #configure-your-mcp-client
-[cline]: #configure-your-mcp-client
-[claudedesktop]: #configure-your-mcp-client
-[claudecode]: #configure-your-mcp-client
-[geminicli]: #configure-your-mcp-client
-[geminicodeassist]: #configure-your-mcp-client
-
-## Set up the database
-
-1.  [Create or select a MySQL instance.](https://dev.mysql.com/downloads/installer/)
-
-## Install MCP Toolbox
-
-1. Download the latest version of Toolbox as a binary. Select the [correct binary](https://github.com/googleapis/genai-toolbox/releases) corresponding to your OS and CPU architecture. You are required to use Toolbox version V0.10.0+:
-
-   <!-- {x-release-please-start-version} -->
-   {{< tabpane persist=header >}}
-{{< tab header="linux/amd64" lang="bash" >}}
-curl -O https://storage.googleapis.com/genai-toolbox/v0.12.0/linux/amd64/toolbox
-{{< /tab >}}
-
-{{< tab header="darwin/arm64" lang="bash" >}}
-curl -O https://storage.googleapis.com/genai-toolbox/v0.12.0/darwin/arm64/toolbox
-{{< /tab >}}
-
-{{< tab header="darwin/amd64" lang="bash" >}}
-curl -O https://storage.googleapis.com/genai-toolbox/v0.12.0/darwin/amd64/toolbox
-{{< /tab >}}
-
-{{< tab header="windows/amd64" lang="bash" >}}
-curl -O https://storage.googleapis.com/genai-toolbox/v0.12.0/windows/amd64/toolbox.exe
-{{< /tab >}}
-{{< /tabpane >}}
-    <!-- {x-release-please-end} -->
-
-1. Make the binary executable:
-
-    ```bash
-    chmod +x toolbox
-    ```
-
-1. Verify the installation:
-
-    ```bash
-    ./toolbox --version
-    ```
-
-## Configure your MCP Client
-
-{{< tabpane text=true >}}
-{{% tab header="Claude code" lang="en" %}}
-
-1.  Install [Claude Code](https://docs.anthropic.com/en/docs/agents-and-tools/claude-code/overview).
-1.  Create a `.mcp.json` file in your project root if it doesn't exist.
-1.  Add the following configuration, replace the environment variables with your values, and save:
-
-    ```json
-    {
-      "mcpServers": {
-        "mysql": {
-          "command": "./PATH/TO/toolbox",
-          "args": ["--prebuilt", "mysql", "--stdio"],
-          "env": {
-            "MYSQL_HOST": "",
-            "MYSQL_PORT": "",
-            "MYSQL_DATABASE": "",
-            "MYSQL_USER": "",
-            "MYSQL_PASSWORD": ""
-          }
-        }
-      }
-    }
-    ```
-
-1.  Restart Claude code to apply the new configuration.
-{{% /tab %}}
-{{% tab header="Claude desktop" lang="en" %}}
-
-1.  Open [Claude desktop](https://claude.ai/download) and navigate to Settings.
-1.  Under the Developer tab, tap Edit Config to open the configuration file.
-1.  Add the following configuration, replace the environment variables with your values, and save:
-
-    ```json
-    {
-      "mcpServers": {
-        "mysql": {
-          "command": "./PATH/TO/toolbox",
-          "args": ["--prebuilt", "mysql", "--stdio"],
-          "env": {
-            "MYSQL_HOST": "",
-            "MYSQL_PORT": "",
-            "MYSQL_DATABASE": "",
-            "MYSQL_USER": "",
-            "MYSQL_PASSWORD": ""
-          }
-        }
-      }
-    }
-    ```
-
-1.  Restart Claude desktop.
-1.  From the new chat screen, you should see a hammer (MCP) icon appear with the new MCP server available.
-{{% /tab %}}
-{{% tab header="Cline" lang="en" %}}
-
-1.  Open the [Cline](https://github.com/cline/cline) extension in VS Code and tap the **MCP Servers** icon.
-1.  Tap Configure MCP Servers to open the configuration file.
-1.  Add the following configuration, replace the environment variables with your values, and save:
-
-    ```json
-    {
-      "mcpServers": {
-        "mysql": {
-          "command": "./PATH/TO/toolbox",
-          "args": ["--prebuilt", "mysql", "--stdio"],
-          "env": {
-            "MYSQL_HOST": "",
-            "MYSQL_PORT": "",
-            "MYSQL_DATABASE": "",
-            "MYSQL_USER": "",
-            "MYSQL_PASSWORD": ""
-          }
-        }
-      }
-    }
-    ```
-
-1.  You should see a green active status after the server is successfully connected.
-{{% /tab %}}
-{{% tab header="Cursor" lang="en" %}}
-
-1.  Create a `.cursor` directory in your project root if it doesn't exist.
-1.  Create a `.cursor/mcp.json` file if it doesn't exist and open it.
-1.  Add the following configuration, replace the environment variables with your values, and save:
-
-    ```json
-    {
-      "mcpServers": {
-        "mysql": {
-          "command": "./PATH/TO/toolbox",
-          "args": ["--prebuilt", "mysql", "--stdio"],
-          "env": {
-            "MYSQL_HOST": "",
-            "MYSQL_PORT": "",
-            "MYSQL_DATABASE": "",
-            "MYSQL_USER": "",
-            "MYSQL_PASSWORD": ""
-          }
-        }
-      }
-    }
-    ```
-
-1.  Open [Cursor](https://www.cursor.com/) and navigate to **Settings > Cursor Settings > MCP**. You should see a green active status after the server is successfully connected.
-{{% /tab %}}
-{{% tab header="Visual Studio Code (Copilot)" lang="en" %}}
-
-1.  Open [VS Code](https://code.visualstudio.com/docs/copilot/overview) and create a `.vscode` directory in your project root if it doesn't exist.
-1.  Create a `.vscode/mcp.json` file if it doesn't exist and open it.
-1.  Add the following configuration, replace the environment variables with your values, and save:
-
-    ```json
-    {
-      "mcpServers": {
-        "mysql": {
-          "command": "./PATH/TO/toolbox",
-          "args": ["--prebuilt","mysql","--stdio"],
-          "env": {
-            "MYSQL_HOST": "",
-            "MYSQL_PORT": "",
-            "MYSQL_DATABASE": "",
-            "MYSQL_USER": "",
-            "MYSQL_PASSWORD": ""
-          }
-        }
-      }
-    }
-    ```
-{{% /tab %}}
-{{% tab header="Windsurf" lang="en" %}}
-
-1.  Open [Windsurf](https://docs.codeium.com/windsurf) and navigate to the Cascade assistant.
-1.  Tap on the hammer (MCP) icon, then Configure to open the configuration file.
-1.  Add the following configuration, replace the environment variables with your values, and save:
-
-    ```json
-    {
-      "mcpServers": {
-        "mysql": {
-          "command": "./PATH/TO/toolbox",
-          "args": ["--prebuilt","mysql","--stdio"],
-          "env": {
-            "MYSQL_HOST": "",
-            "MYSQL_PORT": "",
-            "MYSQL_DATABASE": "",
-            "MYSQL_USER": "",
-            "MYSQL_PASSWORD": ""
-          }
-        }
-      }
-    }
-    ```
-{{% /tab %}}
-{{% tab header="Gemini CLI" lang="en" %}}
-
-1.  Install the [Gemini CLI](https://github.com/google-gemini/gemini-cli?tab=readme-ov-file#quickstart).
-1.  In your working directory, create a folder named `.gemini`. Within it, create a `settings.json` file.
-1.  Add the following configuration, replace the environment variables with your values, and then save:
-
-    ```json
-    {
-      "mcpServers": {
-        "mysql": {
-          "command": "./PATH/TO/toolbox",
-          "args": ["--prebuilt","mysql","--stdio"],
-          "env": {
-            "MYSQL_HOST": "",
-            "MYSQL_PORT": "",
-            "MYSQL_DATABASE": "",
-            "MYSQL_USER": "",
-            "MYSQL_PASSWORD": ""
-          }
-        }
-      }
-    }
-    ```
-{{% /tab %}}
-{{% tab header="Gemini Code Assist" lang="en" %}}
-
-1.  Install the [Gemini Code Assist](https://marketplace.visualstudio.com/items?itemName=Google.geminicodeassist) extension in Visual Studio Code.
-1.  Enable Agent Mode in Gemini Code Assist chat.
-1.  In your working directory, create a folder named `.gemini`. Within it, create a `settings.json` file.
-1.  Add the following configuration, replace the environment variables with your values, and then save:
-
-    ```json
-    {
-      "mcpServers": {
-        "mysql": {
-          "command": "./PATH/TO/toolbox",
-          "args": ["--prebuilt","mysql","--stdio"],
-          "env": {
-            "MYSQL_HOST": "",
-            "MYSQL_PORT": "",
-            "MYSQL_DATABASE": "",
-            "MYSQL_USER": "",
-            "MYSQL_PASSWORD": ""
-          }
-        }
-      }
-    }
-    ```
-{{% /tab %}}
-{{< /tabpane >}}
-
-## Use Tools
-
-Your AI tool is now connected to MySQL using MCP. Try asking your AI assistant to list tables, create a table, or define and execute other SQL statements.
-
-The following tools are available to the LLM:
-
-1.  **list_tables**: lists tables and descriptions
-1.  **execute_sql**: execute any SQL statement
-
-{{< notice note >}}
-Prebuilt tools are pre-1.0, so expect some tool changes between versions. LLMs will adapt to the tools available, so this shouldn't affect most users.
-{{< /notice >}}

docs/en/how-to/connect-ide/postgres_mcp.md

@@ -52,19 +52,19 @@ Omni](https://cloud.google.com/alloydb/omni/current/docs/overview).
    <!-- {x-release-please-start-version} -->
    {{< tabpane persist=header >}}
 {{< tab header="linux/amd64" lang="bash" >}}
-curl -O https://storage.googleapis.com/genai-toolbox/v0.12.0/linux/amd64/toolbox
+curl -O <https://storage.googleapis.com/genai-toolbox/v0.8.0/linux/amd64/toolbox>
 {{< /tab >}}
 
 {{< tab header="darwin/arm64" lang="bash" >}}
-curl -O https://storage.googleapis.com/genai-toolbox/v0.12.0/darwin/arm64/toolbox
+curl -O <https://storage.googleapis.com/genai-toolbox/v0.8.0/darwin/arm64/toolbox>
 {{< /tab >}}
 
 {{< tab header="darwin/amd64" lang="bash" >}}
-curl -O https://storage.googleapis.com/genai-toolbox/v0.12.0/darwin/amd64/toolbox
+curl -O <https://storage.googleapis.com/genai-toolbox/v0.8.0/darwin/amd64/toolbox>
 {{< /tab >}}
 
 {{< tab header="windows/amd64" lang="bash" >}}
-curl -O https://storage.googleapis.com/genai-toolbox/v0.12.0/windows/amd64/toolbox.exe
+curl -O <https://storage.googleapis.com/genai-toolbox/v0.8.0/windows/amd64/toolbox>
 {{< /tab >}}
 {{< /tabpane >}}
     <!-- {x-release-please-end} -->

docs/en/how-to/connect_via_mcp.md

@@ -20,17 +20,18 @@ The native SDKs can be combined with MCP clients in many cases.
 
 Toolbox currently supports the following versions of MCP specification:
 
-* [2025-06-18](https://modelcontextprotocol.io/specification/2025-06-18)
-* [2025-03-26](https://modelcontextprotocol.io/specification/2025-03-26)
-* [2024-11-05](https://modelcontextprotocol.io/specification/2024-11-05)
+* [2024-11-05](https://spec.modelcontextprotocol.io/specification/2024-11-05/)
 
-### Toolbox AuthZ/AuthN Not Supported by MCP
+### Features Not Supported by MCP
 
-The auth implementation in Toolbox is not supported in MCP's auth specification.
-This includes:
+Toolbox has several features that are not yet supported in the MCP specification:
 
-* [Authenticated Parameters](../resources/tools/#authenticated-parameters)
-* [Authorized Invocations](../resources/tools/#authorized-invocations)
+* **AuthZ/AuthN:** There are no auth implementation in the `2024-11-05`
+  specification. This includes:
+  * [Authenticated Parameters](../resources/tools/_index.md#authenticated-parameters)
+  * [Authorized Invocations](../resources/tools/_index.md#authorized-invocations)
+* **Notifications:** Currently, editing Toolbox Tools requires a server restart.
+  Clients should reload tools on disconnect to get the latest version.
 
 ## Connecting to Toolbox with an MCP client
 
@@ -40,7 +41,7 @@ This includes:
 MCP is only compatible with Toolbox version 0.3.0 and above.
 {{< /notice >}}
 
-1. [Install](../getting-started/introduction/#installing-the-server)
+1. [Install](../getting-started/introduction/_index.md#installing-the-server)
    Toolbox version 0.3.0+.
 
 1. Make sure you've set up and initialized your database.
@@ -63,15 +64,14 @@ remote HTTP server. Logs will be set to the `warn` level by default. `debug` and
 `info` logs are not supported with stdio.
 
 {{< notice note >}}
-Toolbox enables dynamic reloading by default. To disable, use the
-`--disable-reload` flag.
+Toolbox enables dynamic reloading by default. To disable, use the `--disable-reload` flag.
 {{< /notice >}}
 
 ### Connecting via HTTP
 
 Toolbox supports the HTTP transport protocol with and without SSE.
 
-{{< tabpane text=true >}} {{% tab header="HTTP with SSE (deprecated)" lang="en" %}}
+{{< tabpane text=true >}} {{% tab header="HTTP with SSE" lang="en" %}}
 Add the following configuration to your MCP client configuration:
 
 ```bash
@@ -87,25 +87,11 @@ Add the following configuration to your MCP client configuration:
 
 If you would like to connect to a specific toolset, replace `url` with
 `"http://127.0.0.1:5000/mcp/{toolset_name}/sse"`.
+{{% /tab %}} {{% tab header="HTTP POST" lang="en" %}}
+Connect to Toolbox HTTP POST via `http://127.0.0.1:5000/mcp`.
 
-HTTP with SSE is only supported in version `2024-11-05` and is currently
-deprecated.
-{{% /tab %}} {{% tab header="Streamable HTTP" lang="en" %}}
-Add the following configuration to your MCP client configuration:
-
-```bash
-{
-  "mcpServers": {
-    "toolbox": {
-      "type": "http",
-      "url": "http://127.0.0.1:5000/mcp",
-    }
-  }
-}
-```
-
-If you would like to connect to a specific toolset, replace `url` with
-`"http://127.0.0.1:5000/mcp/{toolset_name}"`.
+If you would like to connect to a specific toolset, connect via
+`http://127.0.0.1:5000/mcp/{toolset_name}`.
 {{% /tab %}} {{< /tabpane >}}
 
 ### Using the MCP Inspector with Toolbox
@@ -132,8 +118,8 @@ testing and debugging Toolbox server.
 1. Click the `Connect` button. It might take awhile to spin up Toolbox. Voila!
    You should be able to inspect your toolbox tools!
 {{% /tab %}}
-{{% tab header="HTTP with SSE (deprecated)" lang="en" %}}
-1. [Run Toolbox](../getting-started/introduction/#running-the-server).
+{{% tab header="HTTP with SSE" lang="en" %}}
+1. [Run Toolbox](../getting-started/introduction/_index.md#running-the-server).
 
 1. In a separate terminal, run Inspector directly through `npx`:
 
@@ -146,23 +132,6 @@ testing and debugging Toolbox server.
 1. For `URL`, type in `http://127.0.0.1:5000/mcp/sse` to use all tool or
    `http//127.0.0.1:5000/mcp/{toolset_name}/sse` to use a specific toolset.
 
-1. Click the `Connect` button. Voila! You should be able to inspect your toolbox
-   tools!
-{{% /tab %}}
-{{% tab header="Streamable HTTP" lang="en" %}}
-1. [Run Toolbox](../getting-started/introduction/#running-the-server).
-
-1. In a separate terminal, run Inspector directly through `npx`:
-
-    ```bash
-    npx @modelcontextprotocol/inspector
-    ```
-
-1. For `Transport Type` dropdown menu, select `Streamable HTTP`.
-
-1. For `URL`, type in `http://127.0.0.1:5000/mcp` to use all tool or
-   `http//127.0.0.1:5000/mcp/{toolset_name}` to use a specific toolset.
-
 1. Click the `Connect` button. Voila! You should be able to inspect your toolbox
    tools!
 {{% /tab %}} {{< /tabpane >}}

docs/en/how-to/deploy_docker.md

@@ -75,7 +75,7 @@ networks:
 
 {{< notice tip >}}
 
-You can use this setup to quickly set up Toolbox + Postgres to follow along in our
+You can use this setup quickly set up Toolbox + Postgres to follow along in our
 [Quickstart](../getting-started/local_quickstart.md)
 
 {{< /notice >}}

docs/en/how-to/deploy_gke.md

@@ -60,8 +60,8 @@ description: >
     gcloud iam service-accounts create $SA_NAME
     ```
 
-1. Grant any IAM roles necessary to the IAM service account. Each source has a
-    list of necessary IAM permissions listed on its page. The example below is
+1. Grant any IAM roles necessary to the IAM service account. Each source have a
+    list of necessary IAM permissions listed on it's page. The example below is
     for cloud sql postgres source:
 
     ```bash

docs/en/how-to/deploy_toolbox.md

@@ -79,7 +79,7 @@ database are in the same VPC network.
 
 Create a `tools.yaml` file that contains your configuration for Toolbox. For
 details, see the
-[configuration](../resources/sources/)
+[configuration](https://googleapis.github.io/genai-toolbox/resources/sources/)
 section.
 
 ## Deploy to Cloud Run
@@ -125,7 +125,7 @@ section.
         --region us-central1 \
         --set-secrets "/app/tools.yaml=tools:latest" \
         --args="--tools-file=/app/tools.yaml","--address=0.0.0.0","--port=8080" \
-        # TODO(dev): update the following to match your VPC if necessary
+        # TODO(dev): update the following to match your VPC if necessary 
         --network default \
         --subnet default
         # --allow-unauthenticated # https://cloud.google.com/run/docs/authenticating/public#gcloud
@@ -133,15 +133,21 @@ section.
 
 ## Connecting with Toolbox Client SDK
 
-You can connect to Toolbox Cloud Run instances directly through the SDK.
+You can connect to Toolbox Cloud Run instances directly through the SDK
 
 1. [Set up `Cloud Run Invoker` role
    access](https://cloud.google.com/run/docs/securing/managing-access#service-add-principals)
    to your Cloud Run service.
 
-1. (Only for local runs) Set up [Application Default
+1. Set up [Application Default
    Credentials](https://cloud.google.com/docs/authentication/set-up-adc-local-dev-environment)
-   for the principal you set up the `Cloud Run Invoker` role access to.
+   for the principle you set up the `Cloud Run Invoker` role access to.
+
+    {{< notice tip >}}
+  If you're working in some other environment than local, set up [environment
+    specific Default
+    Credentials](https://cloud.google.com/docs/authentication/provide-credentials-adc).
+    {{< /notice >}}
 
 1. Run the following to retrieve a non-deterministic URL for the cloud run service:
 
@@ -151,49 +157,16 @@ You can connect to Toolbox Cloud Run instances directly through the SDK.
 
 1. Import and initialize the toolbox client with the URL retrieved above:
 
-    {{< tabpane persist=header >}}
-{{< tab header="Python" lang="python" >}}
-from toolbox_core import ToolboxClient, auth_methods
+    ```python
+    from toolbox_core import ToolboxClient, auth_methods
 
-# Replace with the Cloud Run service URL generated in the previous step.
-URL = "https://cloud-run-url.app"
+    auth_token_provider = auth_methods.aget_google_id_token # can also use sync method
 
-auth_token_provider = auth_methods.aget_google_id_token(URL) # can also use sync method
-
-async with ToolboxClient(
-    URL,
-    client_headers={"Authorization": auth_token_provider},
-) as toolbox:
-{{< /tab >}}
-{{< tab header="Javascript" lang="javascript" >}}
-import { ToolboxClient } from '@toolbox-sdk/core';
-import {getGoogleIdToken} from '@toolbox-sdk/core/auth'
-
-// Replace with the Cloud Run service URL generated in the previous step.
-const URL = 'http://127.0.0.1:5000';
-const authTokenProvider = () => getGoogleIdToken(URL);
-
-const client = new ToolboxClient(URL, null, {"Authorization": authTokenProvider});
-{{< /tab >}}
-{{< tab header="Go" lang="go" >}}
-import "github.com/googleapis/mcp-toolbox-sdk-go/core"
-
-func main() {
-    // Replace with the Cloud Run service URL generated in the previous step.
-    URL := "http://127.0.0.1:5000"
-    auth_token_provider, err := core.GetGoogleIDToken(ctx, URL)
-    if err != nil {
-        log.Fatalf("Failed to fetch token %v", err)
-    }
-    toolboxClient, err := core.NewToolboxClient(
+    # Replace with the Cloud Run service URL generated in the previous step.
+    async with ToolboxClient(
         URL,
-        core.WithClientHeaderString("Authorization", auth_token_provider))
-    if err != nil {
-        log.Fatalf("Failed to create Toolbox client: %v", err)
-    }
-}
-{{< /tab >}}
-{{< /tabpane >}}
-
+        client_headers={"Authorization": auth_token_provider},
+    ) as toolbox:
+    ```
 
 Now, you can use this client to connect to the deployed Cloud Run instance!

docs/en/how-to/toolbox-ui/index.md

@@ -1,109 +0,0 @@
----
-title: "Toolbox UI"
-type: docs
-weight: 1
-description: >
-  How to effectively use Toolbox UI.
----
-
-Toolbox UI is a built-in web interface that allows users to visually inspect and test out configured resources such as tools and toolsets.
-
-## Launching Toolbox UI
-
-To launch Toolbox's interactive UI, use the `--ui` flag.
-
-```sh
-./toolbox --ui
-```
-
-Toolbox UI will be served from the same host and port as the Toolbox Server, with the `/ui` suffix. Once Toolbox
-is launched, the following INFO log with Toolbox UI's url will be shown:
-
-```bash
-INFO "Toolbox UI is up and running at: http://localhost:5000/ui"
-```
-
-## Navigating the Tools Page
-
-The tools page shows all tools loaded from your configuration file. This corresponds to the default toolset (represented by an empty string). Each tool's name on this page will exactly match its name in the configuration 
-file.
-
-To view details for a specific tool, click on the tool name. The main content area will be populated
-with the tool name, description, and available parameters.
-
-![Tools Page](./tools.png)
-
-### Invoking a Tool
-
-1. Click on a Tool
-1. Enter appropriate parameters in each parameter field
-1. Click "Run Tool"
-1. Done! Your results will appear in the response field
-1. (Optional) Uncheck "Prettify JSON" to format the response as plain text
-
-![Run Tool Demo GIF](./run-tool.gif)
-
-### Optional Parameters
-
-Toolbox allows users to add [optional parameters](../../resources/tools/#basic-parameters) with or without a default value. 
-
-To exclude a parameter, uncheck the box to the right of an associated parameter, and that parameter will not be
-included in the request body. If the parameter is not sent, Toolbox will either use it as `nil` value or the `default` value, if configured. If the parameter is required, Toolbox will throw an error.
-
-When the box is checked, parameter will be sent exactly as entered in the response field (e.g. empty string).
-
-![Optional Parameter checked example](./optional-param-checked.png)
-
-![Optional Parameter unchecked example](./optional-param-unchecked.png)
-
-### Editing Headers
-
-To edit headers, press the "Edit Headers" button to display the header modal. Within this modal,
-users can make direct edits by typing into the header's text area. 
-
-Toolbox UI validates that the headers are in correct JSON format. Other header-related errors (e.g.,
-incorrect header names or values required by the tool) will be reported in the Response section 
-after running the tool.
-
-![Edit Headers](./edit-headers.png)
-
-#### Google OAuth
-
-Currently, Toolbox supports Google OAuth 2.0 as an AuthService, which allows tools to utilize 
-authorized parameters. When a tool uses an authorized parameter, the parameter will be displayed
-but not editable, as it will be populated from the authentication token.  
-
-To provide the token, add your Google OAuth ID Token to the request header using the "Edit Headers"
-button and modal described above. The key should be the name of your AuthService as defined in 
-your tool configuration file, suffixed with `_token`. The value should be your ID token as a string.
-
-1. Select a tool that requires [authenticated parameters]()
-1. The auth parameter's text field is greyed out. This is because it cannot be entered manually and will
-be parsed from the resolved auth token
-1. To update request headers with the token, select "Edit Headers"
-1. (Optional) If you wish to manually edit the header, checkout the dropdown "How to extract Google OAuth ID Token manually" for guidance on retrieving ID token
-1. To edit the header automatically, click the "Auto Setup" button that is associated with your Auth Profile
-1. Enter the Client ID defined in your tools configuration file
-1. Click "Continue"
-1. Click "Sign in With Google" and login with your associated google account. This should automatically populate the header text area with your token
-1. Click "Save"
-1. Click "Run Tool"
-
-```json
-{
-  "Content-Type": "application/json",
-  "my-google-auth_token": "YOUR_ID_TOKEN_HERE"
-}
-```
-
-![Using Authenticated Parameter GIF](./edit-headers.gif)
-
-## Navigating the Toolsets Page
-
-Through the toolsets page, users can search for a specific toolset to retrieve tools from. Simply
-enter the toolset name in the search bar, and press "Enter" to retrieve the associated tools.
-
-If the toolset name is not defined within the tools configuration file, an error message will be 
-displayed.
-
-![Toolsets Page](./toolsets.png)

docs/en/resources/authServices/_index.md

@@ -3,11 +3,11 @@ title: "AuthServices"
 type: docs
 weight: 1
 description: >
-  AuthServices represent services that handle authentication and authorization.
+  AuthServices represent services that handle authentication and authorization. 
 ---
 
 AuthServices represent services that handle authentication and authorization. It
-can primarily be used by [Tools](../tools/) in two different ways:
+can primarily be used by [Tools](../tools) in two different ways:
 
 - [**Authorized Invocation**][auth-invoke] is when a tool
   is validated by the auth service before the call can be invoked. Toolbox
@@ -68,10 +68,6 @@ parameter when loading tools, or the `add_auth_token_getter`() /
 
 ### Specifying tokens during load
 
-#### Python
-
-Use the [Python SDK](https://github.com/googleapis/mcp-toolbox-sdk-python/tree/main).
-
 {{< tabpane persist=header >}}
 {{< tab header="Core" lang="Python" >}}
 import asyncio
@@ -139,69 +135,8 @@ if **name** == "**main**":
     asyncio.run(main()){{< /tab >}}
 {{< /tabpane >}}
 
-#### Javascript/Typescript
-
-Use the [JS SDK](https://github.com/googleapis/mcp-toolbox-sdk-js/tree/main).
-
-```javascript
-import { ToolboxClient } from '@toolbox-sdk/core';
-
-async function getAuthToken() {
-    // ... Logic to retrieve ID token (e.g., from local storage, OAuth flow)
-    // This example just returns a placeholder. Replace with your actual token retrieval.
-    return "YOUR_ID_TOKEN" // Placeholder
-}
-
-const URL = 'http://127.0.0.1:5000';
-let client = new ToolboxClient(URL);
-const authTool = await client.loadTool("my-tool", {"my_auth_app_1": getAuthToken});
-const result = await authTool({param:"value"});
-console.log(result);
-print(result)
-```
-
-#### Go
-
-Use the [Go SDK](https://github.com/googleapis/mcp-toolbox-sdk-go/tree/main).
-
-```go
-import "github.com/googleapis/mcp-toolbox-sdk-go/core"
-import "fmt"
-
-func getAuthToken() string {
-	// ... Logic to retrieve ID token (e.g., from local storage, OAuth flow)
-	// This example just returns a placeholder. Replace with your actual token retrieval.
-	return "YOUR_ID_TOKEN" // Placeholder
-}
-
-func main() {
-	URL := 'http://127.0.0.1:5000'
-	client, err := core.NewToolboxClient(URL)
-	if err != nil {
-		log.Fatalf("Failed to create Toolbox client: %v", err)
-  	}
-	dynamicTokenSource := core.NewCustomTokenSource(getAuthToken)
-	authTool, err := client.LoadTool(
-		"my-tool",
-		ctx,
-		core.WithAuthTokenSource("my_auth_app_1", dynamicTokenSource))
-	if err != nil {
-		log.Fatalf("Failed to load tool: %v", err)
-	}
-	inputs := map[string]any{"param": "value"}
-	result, err := authTool.Invoke(ctx, inputs)
-	if err != nil {
-		log.Fatalf("Failed to invoke tool: %v", err)
-	}
-	fmt.Println(result)
-}
-```
-
 ### Specifying tokens for existing tools
 
-#### Python
-Use the [Python SDK](https://github.com/googleapis/mcp-toolbox-sdk-python/tree/main).
-
 {{< tabpane persist=header >}}
 {{< tab header="Core" lang="Python" >}}
 tools = await toolbox.load_toolset()
@@ -247,57 +182,4 @@ authorized_tool = tools[0].add_auth_token_getters({
 {{< /tab >}}
 {{< /tabpane >}}
 
-#### Javascript/Typescript
-
-Use the [JS SDK](https://github.com/googleapis/mcp-toolbox-sdk-js/tree/main).
-
-```javascript
-const URL = 'http://127.0.0.1:5000';
-let client = new ToolboxClient(URL);
-let tool = await client.loadTool("my-tool")
-
-// for a single token
-const authorizedTool = tool.addAuthTokenGetter("my_auth", get_auth_token)
-
-// OR, if multiple tokens are needed
-const multiAuthTool = tool.addAuthTokenGetters({
-    "my_auth_1": getAuthToken1,
-    "my_auth_2": getAuthToken2,
-})
-
-```
-
-#### Go
-
-Use the [Go SDK](https://github.com/googleapis/mcp-toolbox-sdk-go/tree/main).
-
-```go
-import "github.com/googleapis/mcp-toolbox-sdk-go/core"
-
-func main() {
-	URL := 'http://127.0.0.1:5000'
-	client, err := core.NewToolboxClient(URL)
-	if err != nil {
-		log.Fatalf("Failed to create Toolbox client: %v", err)
-	}
-	tool, err := client.LoadTool("my-tool", ctx))
-	if err != nil {
-		log.Fatalf("Failed to load tool: %v", err)
-	}
-	dynamicTokenSource1 := core.NewCustomTokenSource(getAuthToken1)
-	dynamicTokenSource2 := core.NewCustomTokenSource(getAuthToken1)
-
-	// For a single token
-	authTool, err := tool.ToolFrom(
-		core.WithAuthTokenSource("my-auth", dynamicTokenSource),
-	)
-
-	// OR, if multiple tokens are needed
-	authTool, err := tool.ToolFrom(
-		core.WithAuthTokenSource("my-auth_1", dynamicTokenSource1),
-		core.WithAuthTokenSource("my-auth_2", dynamicTokenSource2),
-	)
-}
-```
-
 ## Kinds of Auth Services

docs/en/resources/authServices/google.md

@@ -3,7 +3,7 @@ title: "Google Sign-In"
 type: docs
 weight: 1
 description: >
-  Use Google Sign-In for Oauth 2.0 flow and token lifecycle.
+  Use Google Sign-In for Oauth 2.0 flow and token lifecycle. 
 ---
 
 ## Getting Started
@@ -33,7 +33,7 @@ ID.
 When using [Authenticated Parameters][auth-params], any [claim provided by the
 id-token][provided-claims] can be used for the parameter.
 
-[auth-params]: ../tools/#authenticated-parameters
+[auth-params]: ../tools/#authenticated-phugarameters
 [provided-claims]:
     https://developers.google.com/identity/openid-connect/openid-connect#obtaininguserprofileinformation
 

docs/en/resources/sources/alloydb-pg.md

@@ -22,25 +22,6 @@ cluster][alloydb-free-trial].
 [alloydb-docs]: https://cloud.google.com/alloydb/docs
 [alloydb-free-trial]: https://cloud.google.com/alloydb/docs/create-free-trial-cluster
 
-## Available Tools
-
-- [`alloydb-ai-nl`](../tools/alloydbainl/alloydb-ai-nl.md)  
-  Use natural language queries on AlloyDB, powered by AlloyDB AI.
-
-- [`postgres-sql`](../tools/postgres/postgres-sql.md)  
-  Execute SQL queries as prepared statements in AlloyDB Postgres.
-
-- [`postgres-execute-sql`](../tools/postgres/postgres-execute-sql.md)  
-  Run parameterized SQL statements in AlloyDB Postgres.
-
-### Pre-built Configurations
-
-- [AlloyDB using MCP](https://googleapis.github.io/genai-toolbox/how-to/connect-ide/alloydb_pg_mcp/)  
-Connect your IDE to AlloyDB using Toolbox.
-
-- [AlloyDB Admin API using MCP](https://googleapis.github.io/genai-toolbox/how-to/connect-ide/alloydb_pg_admin_mcp/)  
-Create your AlloyDB database with MCP Toolbox.
-
 ## Requirements
 
 ### IAM Permissions

docs/en/resources/sources/bigquery.md

@@ -34,31 +34,6 @@ avoiding full table scans or complex filters.
 [bigquery-quickstart-cli]: https://cloud.google.com/bigquery/docs/quickstarts/quickstart-command-line
 [bigquery-googlesql]: https://cloud.google.com/bigquery/docs/reference/standard-sql/
 
-## Available Tools
-
-- [`bigquery-sql`](../tools/bigquery/bigquery-sql.md)  
-  Run SQL queries directly against BigQuery datasets.
-
-- [`bigquery-execute-sql`](../tools/bigquery/bigquery-execute-sql.md)  
-  Execute structured queries using parameters.
-
-- [`bigquery-get-dataset-info`](../tools/bigquery/bigquery-get-dataset-info.md)  
-  Retrieve metadata for a specific dataset.
-
-- [`bigquery-get-table-info`](../tools/bigquery/bigquery-get-table-info.md)  
-  Retrieve metadata for a specific table.
-
-- [`bigquery-list-dataset-ids`](../tools/bigquery/bigquery-list-dataset-ids.md)  
-  List available dataset IDs.
-
-- [`bigquery-list-table-ids`](../tools/bigquery/bigquery-list-table-ids.md)  
-  List tables in a given dataset.
-
-### Pre-built Configurations
-
-- [BigQuery using MCP](https://googleapis.github.io/genai-toolbox/how-to/connect-ide/bigquery_mcp/)  
-Connect your IDE to BigQuery using Toolbox.
-
 ## Requirements
 
 ### IAM Permissions

docs/en/resources/sources/bigtable.md

@@ -32,11 +32,6 @@ such as avoiding full table scans or complex filters.
 [bigtable-googlesql]:
     https://cloud.google.com/bigtable/docs/googlesql-overview
 
-## Available Tools
-
-- [`bigtable-sql`](../tools/bigtable/bigtable-sql.md)
-  Run SQL-like queries over Bigtable rows.
-
 ## Requirements
 
 ### IAM Permissions

docs/en/resources/sources/cloud-sql-mssql.md

@@ -19,19 +19,6 @@ to a database by following these instructions][csql-mssql-connect].
 [csql-mssql-docs]: https://cloud.google.com/sql/docs/sqlserver
 [csql-mssql-connect]: https://cloud.google.com/sql/docs/sqlserver/connect-overview
 
-## Available Tools
-
-- [`mssql-sql`](../tools/mssql/mssql-sql.md)  
-  Execute pre-defined SQL Server queries with placeholder parameters.
-
-- [`mssql-execute-sql`](../tools/mssql/mssql-execute-sql.md)  
-  Run parameterized SQL Server queries in Cloud SQL for SQL Server.
-
-### Pre-built Configurations
-
-- [Cloud SQL for SQL Server using MCP](https://googleapis.github.io/genai-toolbox/how-to/connect-ide/cloud_sql_mssql_mcp/)  
-Connect your IDE to Cloud SQL for SQL Server using Toolbox.
-
 ## Requirements
 
 ### IAM Permissions

docs/en/resources/sources/cloud-sql-mysql.md

@@ -20,19 +20,6 @@ to a database by following these instructions][csql-mysql-quickstart].
 [csql-mysql-docs]: https://cloud.google.com/sql/docs/mysql
 [csql-mysql-quickstart]: https://cloud.google.com/sql/docs/mysql/connect-instance-local-computer
 
-## Available Tools
-
-- [`mysql-sql`](../tools/mysql/mysql-sql.md)  
-  Execute pre-defined prepared SQL queries in MySQL.
-
-- [`mysql-execute-sql`](../tools/mysql/mysql-execute-sql.md)  
-  Run parameterized SQL queries in Cloud SQL for MySQL.
-
-### Pre-built Configurations
-
-- [Cloud SQL for MySQL using MCP](https://googleapis.github.io/genai-toolbox/how-to/connect-ide/cloud_sql_mysql_mcp/)  
-Connect your IDE to Cloud SQL for MySQL using Toolbox.
-
 ## Requirements
 
 ### IAM Permissions

docs/en/resources/sources/cloud-sql-pg.md

@@ -20,20 +20,6 @@ to a database by following these instructions][csql-pg-quickstart].
 [csql-pg-docs]: https://cloud.google.com/sql/docs/postgres
 [csql-pg-quickstart]: https://cloud.google.com/sql/docs/postgres/connect-instance-local-computer
 
-## Available Tools
-
-- [`postgres-sql`](../tools/postgres/postgres-sql.md)  
-  Execute SQL queries as prepared statements in PostgreSQL.
-
-- [`postgres-execute-sql`](../tools/postgres/postgres-execute-sql.md)  
-  Run parameterized SQL statements in PostgreSQL.
-
-### Pre-built Configurations
-
-- [Cloud SQL for Postgres using MCP](https://googleapis.github.io/genai-toolbox/how-to/connect-ide/cloud_sql_pg_mcp/)  
-Connect your IDE to Cloud SQL for Postgres using Toolbox.
-
-
 ## Requirements
 
 ### IAM Permissions

docs/en/resources/sources/couchbase.md

@@ -11,11 +11,6 @@ description: >
 A `couchbase` source establishes a connection to a Couchbase database cluster,
 allowing tools to execute SQL queries against it.
 
-## Available Tools
-
-- [`couchbase-sql`](../tools/couchbase/couchbase-sql.md)  
-  Run SQL++ statements on Couchbase with parameterized input.
-
 ## Example
 
 ```yaml

docs/en/resources/sources/dataplex.md

@@ -1,324 +0,0 @@
----
-title: "Dataplex"
-type: docs
-weight: 1
-description: >
-  Dataplex Universal Catalog is a unified, intelligent governance solution for data and AI assets in Google Cloud. Dataplex Universal Catalog powers AI, analytics, and business intelligence at scale.
----
-
-# Dataplex Source
-
-[Dataplex][dataplex-docs] Universal Catalog is a unified, intelligent governance
-solution for data and AI assets in Google Cloud. Dataplex Universal Catalog
-powers AI, analytics, and business intelligence at scale.
-
-At the heart of these governance capabilities is a catalog that contains a
-centralized inventory of the data assets in your organization. Dataplex
-Universal Catalog holds business, technical, and runtime metadata for all of
-your data. It helps you discover relationships and semantics in the metadata by
-applying artificial intelligence and machine learning.
-
-[dataplex-docs]: https://cloud.google.com/dataplex/docs
-
-## Example
-
-```yaml
-sources:
-  my-dataplex-source:
-    kind: "dataplex"
-    project: "my-project-id"
-```
-
-## Sample System Prompt
-
-You can use the following system prompt as "Custom Instructions" in your client
-application.
-
-```
-# Objective
-Your primary objective is to help discover, organize and manage metadata related to data assets. 
-
-# Tone and Style
-1. Adopt the persona of a senior subject matter expert
-2. Your communication style must be:
-    1. Concise: Always favor brevity.
-    2. Direct: Avoid greetings (e.g., "Hi there!", "Certainly!"). Get straight to the point.  
-        Example (Incorrect): Hi there! I see that you are looking for...  
-        Example (Correct): This problem likely stems from...
-3. Do not reiterate or summarize the question in the answer.
-4. Crucially, always convey a tone of uncertainty and caution. Since you are interpreting metadata and have no way to externally verify your answers, never express complete confidence. Frame your responses as interpretations based solely on the provided metadata. Use a suggestive tone, not a prescriptive one:  
-    Example (Correct): "The entry describes..."  
-    Example (Correct): "According to catalog,..."  
-    Example (Correct): "Based on the metadata,..."  
-    Example (Correct): "Based on the search results,..."  
-5. Do not make assumptions
-
-# Data Model
-## Entries
-Entry represents a specific data asset. Entry acts as a metadata record for something that is managed by Catalog, such as:
-
-- A BigQuery table or dataset
-- A Cloud Storage bucket or folder
-- An on-premises SQL table
-
-## Aspects
-While the Entry itself is a container, the rich descriptive information about the asset (e.g., schema, data types, business descriptions, classifications) is stored in associated components called Aspects. Aspects are created based on pre-defined blueprints known as Aspect Types.
-
-## Aspect Types
-Aspect Type is a reusable template that defines the schema for a set of metadata fields. Think of an Aspect Type as a structure for the kind of metadata that is organized in the catalog within the Entry. 
-
-Examples:
-- projects/dataplex-types/locations/global/aspectTypes/analytics-hub-exchange
-- projects/dataplex-types/locations/global/aspectTypes/analytics-hub
-- projects/dataplex-types/locations/global/aspectTypes/analytics-hub-listing
-- projects/dataplex-types/locations/global/aspectTypes/bigquery-connection
-- projects/dataplex-types/locations/global/aspectTypes/bigquery-data-policy
-- projects/dataplex-types/locations/global/aspectTypes/bigquery-dataset
-- projects/dataplex-types/locations/global/aspectTypes/bigquery-model
-- projects/dataplex-types/locations/global/aspectTypes/bigquery-policy
-- projects/dataplex-types/locations/global/aspectTypes/bigquery-routine
-- projects/dataplex-types/locations/global/aspectTypes/bigquery-row-access-policy
-- projects/dataplex-types/locations/global/aspectTypes/bigquery-table
-- projects/dataplex-types/locations/global/aspectTypes/bigquery-view
-- projects/dataplex-types/locations/global/aspectTypes/cloud-bigtable-instance
-- projects/dataplex-types/locations/global/aspectTypes/cloud-bigtable-table
-- projects/dataplex-types/locations/global/aspectTypes/cloud-spanner-database
-- projects/dataplex-types/locations/global/aspectTypes/cloud-spanner-instance
-- projects/dataplex-types/locations/global/aspectTypes/cloud-spanner-table
-- projects/dataplex-types/locations/global/aspectTypes/cloud-spanner-view
-- projects/dataplex-types/locations/global/aspectTypes/cloudsql-database
-- projects/dataplex-types/locations/global/aspectTypes/cloudsql-instance
-- projects/dataplex-types/locations/global/aspectTypes/cloudsql-schema
-- projects/dataplex-types/locations/global/aspectTypes/cloudsql-table
-- projects/dataplex-types/locations/global/aspectTypes/cloudsql-view
-- projects/dataplex-types/locations/global/aspectTypes/contacts
-- projects/dataplex-types/locations/global/aspectTypes/dataform-code-asset
-- projects/dataplex-types/locations/global/aspectTypes/dataform-repository
-- projects/dataplex-types/locations/global/aspectTypes/dataform-workspace
-- projects/dataplex-types/locations/global/aspectTypes/dataproc-metastore-database
-- projects/dataplex-types/locations/global/aspectTypes/dataproc-metastore-service
-- projects/dataplex-types/locations/global/aspectTypes/dataproc-metastore-table
-- projects/dataplex-types/locations/global/aspectTypes/data-product
-- projects/dataplex-types/locations/global/aspectTypes/data-quality-scorecard
-- projects/dataplex-types/locations/global/aspectTypes/external-connection
-- projects/dataplex-types/locations/global/aspectTypes/overview
-- projects/dataplex-types/locations/global/aspectTypes/pubsub-topic
-- projects/dataplex-types/locations/global/aspectTypes/schema
-- projects/dataplex-types/locations/global/aspectTypes/sensitive-data-protection-job-result
-- projects/dataplex-types/locations/global/aspectTypes/sensitive-data-protection-profile
-- projects/dataplex-types/locations/global/aspectTypes/sql-access
-- projects/dataplex-types/locations/global/aspectTypes/storage-bucket
-- projects/dataplex-types/locations/global/aspectTypes/storage-folder
-- projects/dataplex-types/locations/global/aspectTypes/storage
-- projects/dataplex-types/locations/global/aspectTypes/usage
-
-## Entry Types
-Every Entry must conform to an Entry Type. The Entry Type acts as a template, defining the structure, required aspects, and constraints for Entries of that type. 
-
-Examples:
-- projects/dataplex-types/locations/global/entryTypes/analytics-hub-exchange
-- projects/dataplex-types/locations/global/entryTypes/analytics-hub-listing
-- projects/dataplex-types/locations/global/entryTypes/bigquery-connection
-- projects/dataplex-types/locations/global/entryTypes/bigquery-data-policy
-- projects/dataplex-types/locations/global/entryTypes/bigquery-dataset
-- projects/dataplex-types/locations/global/entryTypes/bigquery-model
-- projects/dataplex-types/locations/global/entryTypes/bigquery-routine
-- projects/dataplex-types/locations/global/entryTypes/bigquery-row-access-policy
-- projects/dataplex-types/locations/global/entryTypes/bigquery-table
-- projects/dataplex-types/locations/global/entryTypes/bigquery-view
-- projects/dataplex-types/locations/global/entryTypes/cloud-bigtable-instance
-- projects/dataplex-types/locations/global/entryTypes/cloud-bigtable-table
-- projects/dataplex-types/locations/global/entryTypes/cloud-spanner-database
-- projects/dataplex-types/locations/global/entryTypes/cloud-spanner-instance
-- projects/dataplex-types/locations/global/entryTypes/cloud-spanner-table
-- projects/dataplex-types/locations/global/entryTypes/cloud-spanner-view
-- projects/dataplex-types/locations/global/entryTypes/cloudsql-mysql-database
-- projects/dataplex-types/locations/global/entryTypes/cloudsql-mysql-instance
-- projects/dataplex-types/locations/global/entryTypes/cloudsql-mysql-table
-- projects/dataplex-types/locations/global/entryTypes/cloudsql-mysql-view
-- projects/dataplex-types/locations/global/entryTypes/cloudsql-postgresql-database
-- projects/dataplex-types/locations/global/entryTypes/cloudsql-postgresql-instance
-- projects/dataplex-types/locations/global/entryTypes/cloudsql-postgresql-schema
-- projects/dataplex-types/locations/global/entryTypes/cloudsql-postgresql-table
-- projects/dataplex-types/locations/global/entryTypes/cloudsql-postgresql-view
-- projects/dataplex-types/locations/global/entryTypes/cloudsql-sqlserver-database
-- projects/dataplex-types/locations/global/entryTypes/cloudsql-sqlserver-instance
-- projects/dataplex-types/locations/global/entryTypes/cloudsql-sqlserver-schema
-- projects/dataplex-types/locations/global/entryTypes/cloudsql-sqlserver-table
-- projects/dataplex-types/locations/global/entryTypes/cloudsql-sqlserver-view
-- projects/dataplex-types/locations/global/entryTypes/dataform-code-asset
-- projects/dataplex-types/locations/global/entryTypes/dataform-repository
-- projects/dataplex-types/locations/global/entryTypes/dataform-workspace
-- projects/dataplex-types/locations/global/entryTypes/dataproc-metastore-database
-- projects/dataplex-types/locations/global/entryTypes/dataproc-metastore-service
-- projects/dataplex-types/locations/global/entryTypes/dataproc-metastore-table
-- projects/dataplex-types/locations/global/entryTypes/pubsub-topic
-- projects/dataplex-types/locations/global/entryTypes/storage-bucket
-- projects/dataplex-types/locations/global/entryTypes/storage-folder
-- projects/dataplex-types/locations/global/entryTypes/vertexai-dataset
-- projects/dataplex-types/locations/global/entryTypes/vertexai-feature-group
-- projects/dataplex-types/locations/global/entryTypes/vertexai-feature-online-store
-
-## Entry Groups
-Entries are organized within Entry Groups, which are logical groupings of Entries. An Entry Group acts as a namespace for its Entries.
-
-## Entry Links
-Entries can be linked together using EntryLinks to represent relationships between data assets (e.g. foreign keys).
-
-# Tool instructions
-## Tool: dataplex_search_entries
-## General
-- Do not try to search within search results on your own.
-- Do not fetch multiple pages of results unless explicitly asked.
-
-## Search syntax
-
-### Simple search
-In its simplest form, a search query consists of a single predicate. Such a predicate can match several pieces of metadata:
-
-- A substring of a name, display name, or description of a resource
-- A substring of the type of a resource
-- A substring of a column name (or nested column name) in the schema of a resource
-- A substring of a project ID
-- A string from an overview description
-
-For example, the predicate foo matches the following resources:
-- Resource with the name foo.bar
-- Resource with the display name Foo Bar
-- Resource with the description This is the foo script
-- Resource with the exact type foo
-- Column foo_bar in the schema of a resource
-- Nested column foo_bar in the schema of a resource
-- Project prod-foo-bar
-- Resource with an overview containing the word foo
-
-
-### Qualified predicates
-You can qualify a predicate by prefixing it with a key that restricts the matching to a specific piece of metadata:
-- An equal sign (=) restricts the search to an exact match.
-- A colon (:) after the key matches the predicate to either a substring or a token within the value in the search results.
-
-Tokenization splits the stream of text into a series of tokens, with each token usually corresponding to a single word. For example:
-- name:foo selects resources with names that contain the foo substring, like foo1 and barfoo.
-- description:foo selects resources with the foo token in the description, like bar and foo.
-- location=foo matches resources in a specified location with foo as the location name.
-
-The predicate keys type, system, location, and orgid support only the exact match (=) qualifier, not the substring qualifier (:). For example, type=foo or orgid=number.
-
-Search syntax supports the following qualifiers:
-- "name:x" - Matches x as a substring of the resource ID.
-- "displayname:x" - Match x as a substring of the resource display name.
-- "column:x" - Matches x as a substring of the column name (or nested column name) in the schema of the resource.
-- "description:x" - Matches x as a token in the resource description.
-- "label:bar" - Matches BigQuery resources that have a label (with some value) and the label key has bar as a substring.
-- "label=bar" - Matches BigQuery resources that have a label (with some value) and the label key equals bar as a string.
-- "label:bar:x" - Matches x as a substring in the value of a label with a key bar attached to a BigQuery resource.
-- "label=foo:bar" - Matches BigQuery resources where the key equals foo and the key value equals bar.
-- "label.foo=bar" - Matches BigQuery resources where the key equals foo and the key value equals bar.
-- "label.foo" - Matches BigQuery resources that have a label whose key equals foo as a string.
-- "type=TYPE" - Matches resources of a specific entry type or its type alias.
-- "projectid:bar" - Matches resources within Google Cloud projects that match bar as a substring in the ID.
-- "parent:x" - Matches x as a substring of the hierarchical path of a resource. It supports same syntax as `name` predicate.
-- "orgid=number" - Matches resources within a Google Cloud organization with the exact ID value of the number.
-- "system=SYSTEM" - Matches resources from a specified system. For example, system=bigquery matches BigQuery resources.
-- "location=LOCATION" - Matches resources in a specified location with an exact name. For example, location=us-central1 matches assets hosted in Iowa. BigQuery Omni assets support this qualifier by using the BigQuery Omni location name. For example, location=aws-us-east-1 matches BigQuery Omni assets in Northern Virginia.
-- "createtime" -
-Finds resources that were created within, before, or after a given date or time. For example "createtime:2019-01-01" matches resources created on 2019-01-01. 
-- "updatetime" - Finds resources that were updated within, before, or after a given date or time. For example "updatetime>2019-01-01" matches resources updated after 2019-01-01.
-
-### Aspect Search
-To search for entries based on their attached aspects, use the following query syntax.
-
-aspect:x	Matches x as a substring of the full path to the aspect type of an aspect that is attached to the entry, in the format projectid.location.ASPECT_TYPE_ID
-aspect=x	Matches x as the full path to the aspect type of an aspect that is attached to the entry, in the format projectid.location.ASPECT_TYPE_ID
-aspect:xOPERATORvalue	
-Searches for aspect field values. Matches x as a substring of the full path to the aspect type and field name of an aspect that is attached to the entry, in the format projectid.location.ASPECT_TYPE_ID.FIELD_NAME
-
-The list of supported {OPERATOR}s depends on the type of field in the aspect, as follows:
-- String: = (exact match) and : (substring)
-- All number types: =, :, <, >, <=, >=, =>, =<
-- Enum: =
-- Datetime: same as for numbers, but the values to compare are treated as datetimes instead of numbers
-- Boolean: =
-
-Only top-level fields of the aspect are searchable. For example, all of the following queries match entries where the value of the is-enrolled field in the employee-info aspect type is true. Other entries that match on the substring are also returned.
-- aspect:example-project.us-central1.employee-info.is-enrolled=true
-- aspect:example-project.us-central1.employee=true
-- aspect:employee=true
-
-Example:-
-You can use following filters
-- dataplex-types.global.bigquery-table.type={BIGLAKE_TABLE, BIGLAKE_OBJECT_TABLE, EXTERNAL_TABLE, TABLE}
-- dataplex-types.global.storage.type={STRUCTURED, UNSTRUCTURED}
-
-### Logical operators
-A query can consist of several predicates with logical operators. If you don't specify an operator, logical AND is implied. For example, foo bar returns resources that match both predicate foo and predicate bar.
-Logical AND and logical OR are supported. For example, foo OR bar.
-
-You can negate a predicate with a - (hyphen) or NOT prefix. For example, -name:foo returns resources with names that don't match the predicate foo.
-Logical operators are case-sensitive. `OR` and `AND` are acceptable whereas `or` and `and` are not.
-
-### Request
-1. Always try to rewrite the prompt using search syntax.
-
-### Response
-1. If there are multiple search results found
-    1. Present the list of search results
-    2. Format the output in nested ordered list, for example:  
-    Given
-    ```
-    {
-        results: [
-            {
-                name: "projects/test-project/locations/us/entryGroups/@bigquery-aws-us-east-1/entries/users"
-                entrySource: {
-                displayName: "Users"
-                description: "Table contains list of users."
-                location: "aws-us-east-1"
-                system: "BigQuery"
-                }
-            },
-            {
-                name: "projects/another_project/locations/us-central1/entryGroups/@bigquery/entries/top_customers"
-                entrySource: {
-                displayName: "Top customers",
-                description: "Table contains list of best customers."
-                location: "us-central1"
-                system: "BigQuery"
-                }
-            },
-        ]
-    }
-    ```
-    Return output formatted as markdown nested list:
-    ```
-    * Users:
-        - projectId: test_project
-        - location: aws-us-east-1
-        - description: Table contains list of users.
-    * Top customers:
-        - projectId: another_project
-        - location: us-central1
-        - description: Table contains list of best customers.
-    ```
-    3. Ask to select one of the presented search results
-2. If there is only one search result found
-    1. Present the search result immediately.
-3. If there are no search result found
-    1. Explain that no search result was found
-    2. Suggest to provide a more specific search query.
-
-## Tool: dataplex_lookup_entry
-### Request
-1. Always try to limit the size of the response by specifying `aspect_types` parameter. Make sure to include to select view=CUSTOM when using aspect_types parameter. If you do not know the name of the aspect type, use the `dataplex_search_aspect_types` tool.
-2. If you do not know the name of the entry, use `dataplex_search_entries` tool
-### Response
-1. Unless asked for a specific aspect, respond with all aspects attached to the entry.
-```
-
-## Reference
-
-| **field** | **type** | **required** | **description**                                                                  |
-|-----------|:--------:|:------------:|----------------------------------------------------------------------------------|
-| kind      |  string  |     true     | Must be "dataplex".                                                              |
-| project   |  string  |     true     | ID of the GCP project used for quota and billing purposes (e.g. "my-project-id").|

docs/en/resources/sources/dgraph.md

@@ -21,11 +21,6 @@ Dgraph Cloud. If you're new to Dgraph, the fastest way to get started is to
 [dgraph-docs]: https://dgraph.io/docs
 [dgraph-login]: https://cloud.dgraph.io/login
 
-## Available Tools
-
-- [`dgraph-dql`](../tools/dgraph/dgraph-dql.md)  
-  Run DQL (Dgraph Query Language) queries.
-
 ## Requirements
 
 ### Database User

docs/en/resources/sources/firestore.md

@@ -1,77 +0,0 @@
----
-title: "Firestore"
-type: docs
-weight: 1
-description: >
-  Firestore is a NoSQL document database built for automatic scaling, high performance, and ease of application development. It's a fully managed, serverless database that supports mobile, web, and server development.
-
----
-
-# Firestore Source
-
-[Firestore][firestore-docs] is a NoSQL document database built for automatic
-scaling, high performance, and ease of application development. While the
-Firestore interface has many of the same features as traditional databases,
-as a NoSQL database it differs from them in the way it describes relationships
-between data objects.
-
-If you are new to Firestore, you can [create a database and learn the
-basics][firestore-quickstart].
-
-[firestore-docs]: https://cloud.google.com/firestore/docs
-[firestore-quickstart]: https://cloud.google.com/firestore/docs/quickstart-servers
-
-## Requirements
-
-### IAM Permissions
-
-Firestore uses [Identity and Access Management (IAM)][iam-overview] to control
-user and group access to Firestore resources. Toolbox will use your [Application
-Default Credentials (ADC)][adc] to authorize and authenticate when interacting
-with [Firestore][firestore-docs].
-
-In addition to [setting the ADC for your server][set-adc], you need to ensure
-the IAM identity has been given the correct IAM permissions for accessing
-Firestore. Common roles include:
-
-- `roles/datastore.user` - Read and write access to Firestore
-- `roles/datastore.viewer` - Read-only access to Firestore
-- `roles/firebaserules.admin` - Full management of Firebase Security Rules for
-  Firestore. This role is required for operations that involve creating,
-  updating, or managing Firestore security rules (see [Firebase Security Rules
-  roles][firebaserules-roles])
-
-See [Firestore access control][firestore-iam] for more information on
-applying IAM permissions and roles to an identity.
-
-[iam-overview]: https://cloud.google.com/firestore/docs/security/iam
-[adc]: https://cloud.google.com/docs/authentication#adc
-[set-adc]: https://cloud.google.com/docs/authentication/provide-credentials-adc
-[firestore-iam]: https://cloud.google.com/firestore/docs/security/iam
-[firebaserules-roles]:
-    https://cloud.google.com/iam/docs/roles-permissions/firebaserules
-
-### Database Selection
-
-Firestore allows you to create multiple databases within a single project. Each
-database is isolated from the others and has its own set of documents and
-collections. If you don't specify a database in your configuration, the default
-database named `(default)` will be used.
-
-## Example
-
-```yaml
-sources:
-  my-firestore-source:
-    kind: "firestore"
-    project: "my-project-id"
-    # database: "my-database"  # Optional, defaults to "(default)"
-```
-
-## Reference
-
-| **field** | **type** | **required** | **description**                                                                                          |
-|-----------|:--------:|:------------:|----------------------------------------------------------------------------------------------------------|
-| kind      |  string  |     true     | Must be "firestore".                                                                                     |
-| project   |  string  |     true     | Id of the GCP project that contains the Firestore database (e.g. "my-project-id").                       |
-| database  |  string  |     false    | Name of the Firestore database to connect to. Defaults to "(default)" if not specified.                  |

docs/en/resources/sources/http.md

@@ -13,11 +13,6 @@ The HTTP Source allows Toolbox to retrieve data from arbitrary HTTP
 endpoints. This enables Generative AI applications to access data from web APIs
 and other HTTP-accessible resources.
 
-## Available Tools
-
-- [`http`](../tools/http/http.md)  
-  Make HTTP requests to REST APIs or other web services.
-
 ## Example
 
 ```yaml

docs/en/resources/sources/looker.md

@@ -1,66 +0,0 @@
----
-title: "Looker"
-type: docs
-weight: 1
-description: >
-  Looker is a business intelligence tool that also provides a semantic layer.
----
-
-## About
-
-[Looker][looker-docs] is a web based business intelligence and data management
-tool that provides a semantic layer to facilitate querying. It can be deployed
-in the cloud, on GCP, or on premises.
-
-[looker-docs]: https://cloud.google.com/looker/docs
-
-## Requirements
-
-### Database User
-
-This source only uses API authentication. You will need to
-[create an API user][looker-user] to login to Looker.
-
-[looker-user]:
-    https://cloud.google.com/looker/docs/api-auth#authentication_with_an_sdk
-
-## Example
-
-```yaml
-sources:
-    my-looker-source:
-        kind: looker
-        base_url: http://looker.example.com
-        client_id: ${LOOKER_CLIENT_ID}
-        client_secret: ${LOOKER_CLIENT_SECRET}
-        verify_ssl: true
-        timeout: 600s
-```
-
-The Looker base url will look like "https://looker.example.com", don't include
-a trailing "/". In some cases, especially if your Looker is deployed
-on-premises, you may need to add the API port number like
-"https://looker.example.com:19999".
-
-Verify ssl should almost always be "true" (all lower case) unless you are using
-a self-signed ssl certificate for the Looker server. Anything other than "true"
-will be interpreted as false.
-
-The client id and client secret are seemingly random character sequences
-assigned by the looker server.
-
-{{< notice tip >}}
-Use environment variable replacement with the format ${ENV_NAME}
-instead of hardcoding your secrets into the configuration file.
-{{< /notice >}}
-
-## Reference
-
-| **field**     | **type** | **required** | **description**                                                                           |
-| ------------- | :------: | :----------: | ----------------------------------------------------------------------------------------- |
-| kind          |  string  |     true     | Must be "looker".                                                                         |
-| base_url      |  string  |     true     | The URL of your Looker server with no trailing /).                                        |
-| client_id     |  string  |     true     | The client id assigned by Looker.                                                         |
-| client_secret |  string  |     true     | The client secret assigned by Looker.                                                     |
-| verify_ssl    |  string  |     true     | Whether to check the ssl certificate of the server.                                       |
-| timeout       |  string  |    false     | Maximum time to wait for query execution (e.g. "30s", "2m"). By default, 120s is applied. |

docs/en/resources/sources/mongodb.md

@@ -1,32 +0,0 @@
----
-title: "MongoDB"
-type: docs
-weight: 1
-description: >
-  MongoDB is a no-sql data platform that can not only serve general purpose data requirements also perform VectorSearch where both operational data and embeddings used of search can reside in same document.
-
----
-
-## About
-
-[MongoDB][mongodb-docs] is a popular NoSQL database that stores data in
-flexible, JSON-like documents, making it easy to develop and scale applications.
-
-[mongodb-docs]: https://www.mongodb.com/docs/atlas/getting-started/
-
-## Example
-
-```yaml
-sources:
-    my-mongodb:
-        kind: mongodb
-        uri: "mongodb+srv://username:password@host.mongodb.net"       
-```
-
-## Reference
-
-| **field** | **type** | **required** | **description**                                                   |
-|-----------|:--------:|:------------:|-------------------------------------------------------------------|
-| kind      |  string  |     true     | Must be "mongodb".                                                |
-| uri       |  string  |     true     | connection string to connect to MongoDB                           |
-| database  |  string  |     true     | Name of the mongodb database to connect to (e.g. "sample_mflix"). |

docs/en/resources/sources/mssql.md

@@ -15,14 +15,6 @@ amount of data through a structured format.
 
 [mssql-docs]: https://www.microsoft.com/en-us/sql-server
 
-## Available Tools
-
-- [`mssql-sql`](../tools/mssql/mssql-sql.md)  
-  Execute pre-defined SQL Server queries with placeholder parameters.
-
-- [`mssql-execute-sql`](../tools/mssql/mssql-execute-sql.md)  
-  Run parameterized SQL Server queries in SQL Server.
-
 ## Requirements
 
 ### Database User
@@ -43,7 +35,6 @@ sources:
         database: my_db
         user: ${USER_NAME}
         password: ${PASSWORD}
-        # encrypt: strict
 ```
 
 {{< notice tip >}}
@@ -53,12 +44,11 @@ instead of hardcoding your secrets into the configuration file.
 
 ## Reference
 
-| **field** | **type** | **required** | **description**                                                                                                                                                                            |
-|-----------|:--------:|:------------:|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
-| kind      |  string  |     true     | Must be "mssql".                                                                                                                                                                           |
-| host      |  string  |     true     | IP address to connect to (e.g. "127.0.0.1").                                                                                                                                               |
-| port      |  string  |     true     | Port to connect to (e.g. "1433").                                                                                                                                                          |
-| database  |  string  |     true     | Name of the SQL Server database to connect to (e.g. "my_db").                                                                                                                              |
-| user      |  string  |     true     | Name of the SQL Server user to connect as (e.g. "my-user").                                                                                                                                |
-| password  |  string  |     true     | Password of the SQL Server user (e.g. "my-password").                                                                                                                                      |
-| encrypt   |  string  |    false     | Encryption level for data transmitted between the client and server (e.g., "strict"). If not specified, defaults to the [github.com/microsoft/go-mssqldb](https://github.com/microsoft/go-mssqldb?tab=readme-ov-file#common-parameters) package's default encrypt value. |
+| **field** | **type** | **required** | **description**                                                        |
+|-----------|:--------:|:------------:|------------------------------------------------------------------------|
+| kind      |  string  |     true     | Must be "mssql".                                                       |
+| host      |  string  |     true     | IP address to connect to (e.g. "127.0.0.1").                           |
+| port      |  string  |     true     | Port to connect to (e.g. "1433").                                      |
+| database  |  string  |     true     | Name of the SQL Server database to connect to (e.g. "my_db").          |
+| user      |  string  |     true     | Name of the SQL Server user to connect as (e.g. "my-user").            |
+| password  |  string  |     true     | Password of the SQL Server user (e.g. "my-password").                  |

docs/en/resources/sources/mysql.md

@@ -4,6 +4,7 @@ type: docs
 weight: 1
 description: >
   MySQL is a relational database management system that stores and manages data.
+
 ---
 
 ## About
@@ -14,14 +15,6 @@ reliability, performance, and ease of use.
 
 [mysql-docs]: https://www.mysql.com/
 
-## Available Tools
-
-- [`mysql-sql`](../tools/mysql/mysql-sql.md)  
-  Execute pre-defined prepared SQL queries in MySQL.
-
-- [`mysql-execute-sql`](../tools/mysql/mysql-execute-sql.md)  
-  Run parameterized SQL queries in MySQL.
-
 ## Requirements
 
 ### Database User
@@ -42,7 +35,6 @@ sources:
         database: my_db
         user: ${USER_NAME}
         password: ${PASSWORD}
-        queryTimeout: 30s # Optional: query timeout duration
 ```
 
 {{< notice tip >}}
@@ -52,12 +44,11 @@ instead of hardcoding your secrets into the configuration file.
 
 ## Reference
 
-| **field**    | **type** | **required** | **description**                                                                                 |
-| ------------ | :------: | :----------: | ----------------------------------------------------------------------------------------------- |
-| kind         |  string  |     true     | Must be "mysql".                                                                                |
-| host         |  string  |     true     | IP address to connect to (e.g. "127.0.0.1").                                                    |
-| port         |  string  |     true     | Port to connect to (e.g. "3306").                                                               |
-| database     |  string  |     true     | Name of the MySQL database to connect to (e.g. "my_db").                                        |
-| user         |  string  |     true     | Name of the MySQL user to connect as (e.g. "my-mysql-user").                                    |
-| password     |  string  |     true     | Password of the MySQL user (e.g. "my-password").                                                |
-| queryTimeout |  string  |    false     | Maximum time to wait for query execution (e.g. "30s", "2m"). By default, no timeout is applied. |
+| **field** | **type** | **required** | **description**                                                                             |
+|-----------|:--------:|:------------:|---------------------------------------------------------------------------------------------|
+| kind      |  string  |     true     | Must be "mysql".                                                                            |
+| host      |  string  |     true     | IP address to connect to (e.g. "127.0.0.1").                                                |
+| port      |  string  |     true     | Port to connect to (e.g. "3306").                                                           |
+| database  |  string  |     true     | Name of the MySQL database to connect to (e.g. "my_db").                                    |
+| user      |  string  |     true     | Name of the MySQL user to connect as (e.g. "my-mysql-user").                                |
+| password  |  string  |     true     | Password of the MySQL user (e.g. "my-password").                                            |

docs/en/resources/sources/neo4j.md

@@ -7,19 +7,12 @@ description: >
 
 ---
 
-## About
-
 [Neo4j][neo4j-docs] is a powerful, open source graph database system with over
 15 years of active development that has earned it a strong reputation for
 reliability, feature robustness, and performance.
 
 [neo4j-docs]: https://neo4j.com/docs
 
-## Available Tools
-
-- [`neo4j-cypher`](../tools/neo4j/neo4j-cypher.md)  
-  Run Cypher queries against your Neo4j graph database.
-
 ## Requirements
 
 ### Database User

docs/en/resources/sources/oceanbase.md

@@ -1,72 +0,0 @@
----
-title: "OceanBase"
-type: docs
-weight: 1
-description: >
-  OceanBase is a distributed relational database that provides high availability, scalability, and compatibility with MySQL.
----
-
-## About
-
-[OceanBase][oceanbase-docs] is a distributed relational database management system (RDBMS) that provides high availability, scalability, and strong consistency. It's designed to handle large-scale data processing and is compatible with MySQL, making it easy for developers to migrate from MySQL to OceanBase.
-
-[oceanbase-docs]: https://www.oceanbase.com/
-
-## Requirements
-
-### Database User
-
-This source only uses standard authentication. You will need to create an OceanBase user to login to the database with. OceanBase supports MySQL-compatible user management syntax.
-
-### Network Connectivity
-
-Ensure that your application can connect to the OceanBase cluster. OceanBase typically runs on ports 2881 (for MySQL protocol) or 3881 (for MySQL protocol with SSL).
-
-## Example
-
-```yaml
-sources:
-    my-oceanbase-source:
-        kind: oceanbase
-        host: 127.0.0.1
-        port: 2881
-        database: my_db
-        user: ${USER_NAME}
-        password: ${PASSWORD}
-        queryTimeout: 30s # Optional: query timeout duration
-```
-
-{{< notice tip >}}
-Use environment variable replacement with the format ${ENV_NAME}
-instead of hardcoding your secrets into the configuration file.
-{{< /notice >}}
-
-## Reference
-
-| **field**    | **type** | **required** | **description**                                                                                 |
-| ------------ | :------: | :----------: |-------------------------------------------------------------------------------------------------|
-| kind         |  string  |     true     | Must be "oceanbase".                                                                            |
-| host         |  string  |     true     | IP address to connect to (e.g. "127.0.0.1").                                                    |
-| port         |  string  |     true     | Port to connect to (e.g. "2881").                                                               |
-| database     |  string  |     true     | Name of the OceanBase database to connect to (e.g. "my_db").                                    |
-| user         |  string  |     true     | Name of the OceanBase user to connect as (e.g. "my-oceanbase-user").                            |
-| password     |  string  |     true     | Password of the OceanBase user (e.g. "my-password").                                            |
-| queryTimeout |  string  |    false     | Maximum time to wait for query execution (e.g. "30s", "2m"). By default, no timeout is applied. |
-
-## Features
-
-### MySQL Compatibility
-
-OceanBase is highly compatible with MySQL, supporting most MySQL SQL syntax, data types, and functions. This makes it easy to migrate existing MySQL applications to OceanBase.
-
-### High Availability
-
-OceanBase provides automatic failover and data replication across multiple nodes, ensuring high availability and data durability.
-
-### Scalability
-
-OceanBase can scale horizontally by adding more nodes to the cluster, making it suitable for large-scale applications.
-
-### Strong Consistency
-
-OceanBase provides strong consistency guarantees, ensuring that all transactions are ACID compliant. 

docs/en/resources/sources/postgres.md

@@ -15,19 +15,6 @@ reputation for reliability, feature robustness, and performance.
 
 [pg-docs]: https://www.postgresql.org/
 
-## Available Tools
-
-- [`postgres-sql`](../tools/postgres/postgres-sql.md)  
-  Execute SQL queries as prepared statements in PostgreSQL.
-
-- [`postgres-execute-sql`](../tools/postgres/postgres-execute-sql.md)  
-  Run parameterized SQL statements in PostgreSQL.
-
-### Pre-built Configurations
-
-- [PostgreSQL using MCP](https://googleapis.github.io/genai-toolbox/how-to/connect-ide/postgres_mcp/)  
-Connect your IDE to PostgreSQL using Toolbox.
-
 ## Requirements
 
 ### Database User
@@ -57,12 +44,11 @@ instead of hardcoding your secrets into the configuration file.
 
 ## Reference
 
-|  **field**  |      **type**      | **required** | **description**                                                        |
-|-------------|:------------------:|:------------:|------------------------------------------------------------------------|
-| kind        |       string       |     true     | Must be "postgres".                                                    |
-| host        |       string       |     true     | IP address to connect to (e.g. "127.0.0.1")                            |
-| port        |       string       |     true     | Port to connect to (e.g. "5432")                                       |
-| database    |       string       |     true     | Name of the Postgres database to connect to (e.g. "my_db").            |
-| user        |       string       |     true     | Name of the Postgres user to connect as (e.g. "my-pg-user").           |
-| password    |       string       |     true     | Password of the Postgres user (e.g. "my-password").                    |
-| queryParams |  map[string]string |     false    | Raw query to be added to the db connection string.                     |
+| **field** | **type** | **required** | **description**                                                        |
+|-----------|:--------:|:------------:|------------------------------------------------------------------------|
+| kind      |  string  |     true     | Must be "postgres".                                                    |
+| host      |  string  |     true     | IP address to connect to (e.g. "127.0.0.1")                            |
+| port      |  string  |     true     | Port to connect to (e.g. "5432")                                       |
+| database  |  string  |     true     | Name of the Postgres database to connect to (e.g. "my_db").            |
+| user      |  string  |     true     | Name of the Postgres user to connect as (e.g. "my-pg-user").           |
+| password  |  string  |     true     | Password of the Postgres user (e.g. "my-password").                    |

docs/en/resources/sources/redis.md

@@ -4,13 +4,13 @@ linkTitle: "Redis"
 type: docs
 weight: 1
 description: >
-    Redis is a in-memory data structure store.
+    Redis is an open-source, in-memory data structure store.
     
 ---
 
 ## About
 
-Redis is a in-memory data structure store, used as a database,
+Redis is an open-source, in-memory data structure store, used as a database,
 cache, and message broker. It supports data structures such as strings, hashes,
 lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, and
 geospatial indexes with radius queries.
@@ -18,11 +18,6 @@ geospatial indexes with radius queries.
 If you are new to Redis, you can find installation and getting started guides on
 the [official Redis website](https://redis.io/docs/getting-started/).
 
-## Available Tools
-
-- [`redis`](../tools/redis/redis.md)  
-  Run Redis commands and interact with key-value pairs.
-
 ## Requirements
 
 ### Redis
@@ -38,7 +33,7 @@ sources:
     my-redis-instance:
      kind: redis
      address:
-       - 127.0.0.1:6379
+       - 127.0.0.1
      username: ${MY_USER_NAME}
      password: ${MY_AUTH_STRING} # Omit this field if you don't have a password.
      # database: 0
@@ -63,7 +58,7 @@ sources:
     my-redis-cluster-instance:
      kind: memorystore-redis
      address:
-       - 127.0.0.1:6379
+       - 127.0.0.1
      password: ${MY_AUTH_STRING}
      # useGCPIAM: false
      # clusterEnabled: false
@@ -79,8 +74,7 @@ using IAM authentication:
 sources:
     my-redis-cluster-instance:
      kind: memorystore-redis
-     address:
-       - 127.0.0.1:6379
+     address: 127.0.0.1
      useGCPIAM: true
      clusterEnabled: true
 ```

docs/en/resources/sources/spanner.md

@@ -23,19 +23,6 @@ the Google Cloud console][spanner-quickstart].
 [spanner-quickstart]:
     https://cloud.google.com/spanner/docs/create-query-database-console
 
-## Available Tools
-
-- [`spanner-sql`](../tools/spanner/spanner-sql.md)  
-  Execute SQL on Google Cloud Spanner.
-
-- [`spanner-execute-sql`](../tools/spanner/spanner-execute-sql.md)  
-  Run structured and parameterized queries on Spanner.
-
-### Pre-built Configurations
-
-- [Spanner using MCP](https://googleapis.github.io/genai-toolbox/how-to/connect-ide/spanner_mcp/)  
-Connect your IDE to Spanner using Toolbox.
-
 ## Requirements
 
 ### IAM Permissions

docs/en/resources/sources/sqlite.md

@@ -22,11 +22,6 @@ SQLite has the following notable characteristics:
 - Zero-configuration - no setup or administration needed
 - Transactional with ACID properties
 
-## Available Tools
-
-- [`sqlite-sql`](../tools/sqlite/sqlite-sql.md)  
-  Run SQL queries against a local SQLite database.
-
 ## Requirements
 
 ### Database File
@@ -61,7 +56,7 @@ sources:
 
 | **field** | **type** | **required** | **description**                                                                                                     |
 |-----------|:--------:|:------------:|---------------------------------------------------------------------------------------------------------------------|
-| kind      |  string  |     true     | Must be "sqlite".                                                                                                   |
+| kind      |  string  |     true     | Must be "spanner".                                                                                                  |
 | database  |  string  |     true     | Path to SQLite database file, or ":memory:" for an in-memory database.                                              |
 
 ### Connection Properties

docs/en/resources/sources/tidb.md

@@ -1,81 +0,0 @@
----
-title: "TiDB"
-type: docs
-weight: 1
-description: >
-  TiDB is a distributed SQL database that combines the best of traditional RDBMS and NoSQL databases.
-
----
-
-## About
-
-[TiDB][tidb-docs] is an open-source distributed SQL database that supports Hybrid Transactional and Analytical Processing (HTAP) workloads. It is MySQL-compatible and features horizontal scalability, strong consistency, and high availability.
-
-[tidb-docs]: https://docs.pingcap.com/tidb/stable
-
-## Requirements
-
-### Database User
-
-This source uses standard MySQL protocol authentication. You will need to [create a TiDB user][tidb-users] to login to the database with.
-
-For TiDB Cloud users, you can create database users through the TiDB Cloud console.
-
-[tidb-users]: https://docs.pingcap.com/tidb/stable/user-account-management
-
-## SSL Configuration
-
-- TiDB Cloud
-
-    For TiDB Cloud instances, SSL is automatically enabled when the hostname matches the TiDB Cloud pattern (`gateway*.*.*.tidbcloud.com`). You don't need to explicitly set `ssl: true` for TiDB Cloud connections.
-
-- Self-Hosted TiDB
-
-    For self-hosted TiDB instances, you can optionally enable SSL by setting `ssl: true` in your configuration.
-
-## Example
-
-- TiDB Cloud
-
-    ```yaml
-    sources:
-        my-tidb-cloud-source:
-            kind: tidb
-            host: gateway01.us-west-2.prod.aws.tidbcloud.com
-            port: 4000
-            database: my_db
-            user: ${TIDB_USERNAME}
-            password: ${TIDB_PASSWORD}
-            # SSL is automatically enabled for TiDB Cloud
-    ```
-
-- Self-Hosted TiDB
-
-    ```yaml
-    sources:
-        my-tidb-source:
-            kind: tidb
-            host: 127.0.0.1
-            port: 4000
-            database: my_db
-            user: ${TIDB_USERNAME}
-            password: ${TIDB_PASSWORD}
-            # ssl: true  # Optional: enable SSL for secure connections
-    ```
-
-{{< notice tip >}}
-Use environment variable replacement with the format ${ENV_NAME}
-instead of hardcoding your secrets into the configuration file.
-{{< /notice >}}
-
-## Reference
-
-| **field** | **type** | **required** | **description**                                                                            |
-|-----------|:--------:|:------------:|--------------------------------------------------------------------------------------------|
-| kind      |  string  |     true     | Must be "tidb".                                                                            |
-| host      |  string  |     true     | IP address or hostname to connect to (e.g. "127.0.0.1" or "gateway01.*.tidbcloud.com").    |
-| port      |  string  |     true     | Port to connect to (typically "4000" for TiDB).                                            |
-| database  |  string  |     true     | Name of the TiDB database to connect to (e.g. "my_db").                                    |
-| user      |  string  |     true     | Name of the TiDB user to connect as (e.g. "my-tidb-user").                                 |
-| password  |  string  |     true     | Password of the TiDB user (e.g. "my-password").                                            |
-| ssl       |  boolean |    false     | Whether to use SSL/TLS encryption. Automatically enabled for TiDB Cloud instances.         |

docs/en/resources/sources/valkey.md

@@ -17,12 +17,7 @@ sets, sorted sets with range queries, bitmaps, hyperloglogs, and geospatial
 indexes with radius queries.
 
 If you're new to Valkey, you can find installation and getting started guides on
-the [official Valkey website](https://valkey.io/topics/quickstart/).
-
-## Available Tools
-
-- [`valkey`](../tools/valkey/valkey.md)  
-  Issue Valkey (Redis-compatible) commands.
+the [official Valkey website](https://valkey.io/docs/getting-started/).
 
 ## Example
 
@@ -31,7 +26,7 @@ sources:
     my-valkey-instance:
      kind: valkey
      address:
-       - 127.0.0.1:6379
+       - 127.0.0.1
      username: ${YOUR_USERNAME}
      password: ${YOUR_PASSWORD}
      # database: 0
@@ -55,7 +50,7 @@ sources:
     my-valkey-instance:
      kind: valkey
      address:
-       - 127.0.0.1:6379
+       - 127.0.0.1
      useGCPIAM: true
 ```
 

docs/en/resources/tools/_index.md

@@ -2,8 +2,8 @@
 title: "Tools"
 type: docs
 weight: 2
-description: >
-  Tools define actions an agent can take -- such as reading and writing to a
+description: > 
+  Tools define actions an agent can take -- such as reading and writing to a 
   source.
 ---
 
@@ -81,9 +81,8 @@ the parameter.
 |-------------|:---------------:|:------------:|-----------------------------------------------------------------------------|
 | name        |  string         |     true     | Name of the parameter.                                                      |
 | type        |  string         |     true     | Must be one of "string", "integer", "float", "boolean" "array"              |
+| default     |  parameter type |     false    | Default value of the parameter. If provided, the parameter is not required. |
 | description |  string         |     true     | Natural language description of the parameter to describe it to the agent.  |
-| default     |  parameter type |     false    | Default value of the parameter. If provided, `required` will be `false`.    |
-| required    |  bool           |     false    | Indicate if the parameter is required. Default to `true`.                   |
 
 ### Array Parameters
 
@@ -108,59 +107,22 @@ in the list using the items field:
 |-------------|:----------------:|:------------:|-----------------------------------------------------------------------------|
 | name        |      string      |     true     | Name of the parameter.                                                      |
 | type        |      string      |     true     | Must be "array"                                                             |
+| default     |  parameter type  |     false    | Default value of the parameter. If provided, the parameter is not required. |
 | description |      string      |     true     | Natural language description of the parameter to describe it to the agent.  |
-| default     |  parameter type |     false    | Default value of the parameter. If provided, `required` will be `false`.     |
-| required    |  bool           |     false    | Indicate if the parameter is required. Default to `true`.                    |
 | items       | parameter object |     true     | Specify a Parameter object for the type of the values in the array.         |
 
 {{< notice note >}}
-Items in array should not have a `default` or `required` value. If provided, it
-will be ignored.
+Items in array should not have a default value. If provided, it will be ignored.
 {{< /notice >}}
 
-### Map Parameters
-
-The map type is a collection of key-value pairs. It can be configured in two
-ways:
-
-- Generic Map: By default, it accepts values of any primitive type (string,
-  integer, float, boolean), allowing for mixed data.
-- Typed Map: By setting the valueType field, you can enforce that all values
-  within the map must be of the same specified type.
-
-#### Generic Map (Mixed Value Types)
-
-This is the default behavior when valueType is omitted. It's useful for passing
-a flexible group of settings.
-
-```yaml
-    parameters:
-          - name: execution_context
-            type: map
-            description: A flexible set of key-value pairs for the execution environment.
-```
-
-#### Typed Map
-
-Specify valueType to ensure all values in the map are of the same type. An error
-will be thrown in case of value type mismatch.
-
-```yaml
- parameters:
-      - name: user_scores
-        type: map
-        description: A map of user IDs to their scores. All scores must be integers.
-        valueType: integer # This enforces the value type for all entries.
-```
-
 ### Authenticated Parameters
 
 Authenticated parameters are automatically populated with user
 information decoded from [ID
-tokens](../authServices/#specifying-id-tokens-from-clients) that are passed in
+tokens](../authsources/#specifying-id-tokens-from-clients) that are passed in
 request headers. They do not take input values in request bodies like other
 parameters. To use authenticated parameters, you must configure the tool to map
-the required [authServices](../authServices/) to specific claims within the
+the required [authServices](../authservices) to specific claims within the
 user's ID token.
 
 ```yaml
@@ -183,7 +145,7 @@ user's ID token.
 
 | **field** | **type** | **required** | **description**                                                                         |
 |-----------|:--------:|:------------:|-----------------------------------------------------------------------------------------|
-| name      |  string  |     true     | Name of the [authServices](../authServices/) used to verify the OIDC auth token.         |
+| name      |  string  |     true     | Name of the [authServices](../authservices) used to verify the OIDC auth token. |
 | field     |  string  |     true     | Claim field decoded from the OIDC token used to auto-populate this parameter.           |
 
 ### Template Parameters
@@ -244,7 +206,7 @@ tools:
 
 You can require an authorization check for any Tool invocation request by
 specifying an `authRequired` field. Specify a list of
-[authServices](../authServices/) defined in the previous section.
+[authServices](../authservices) defined in the previous section.
 
 ```yaml
 tools:

docs/en/resources/tools/alloydbainl/alloydb-ai-nl.md

@@ -2,9 +2,9 @@
 title: "alloydb-ai-nl"
 type: docs
 weight: 1
-description: >
-  The "alloydb-ai-nl" tool leverages
-  [AlloyDB AI](https://cloud.google.com/alloydb/ai) next-generation Natural
+description: > 
+  The "alloydb-ai-nl" tool leverages 
+  [AlloyDB AI](https://cloud.google.com/alloydb/ai) next-generation Natural 
   Language support to provide the ability to query the database directly using
   natural language.
 aliases:
@@ -22,7 +22,7 @@ layer.
 
 This tool is compatible with the following sources:
 
-- [alloydb-postgres](../../sources/alloydb-pg.md)
+- [alloydb-postgres](../sources/alloydb-pg.md)
 
 AlloyDB AI Natural Language delivers secure and accurate responses for
 application end user natural language questions. Natural language streamlines
@@ -69,18 +69,12 @@ database queries.
 You can use the `nlConfigParameters` to list the parameters required for your
 `nl_config`. You **must** supply all parameters required for all PSVs in the
 context. It's strongly recommended to use features like [Authenticated
-Parameters](../#array-parameters) or Bound Parameters to provide secure
+Parameters](../tools/#array-parameters) or Bound Parameters to provide secure
 access to queries generated using natural language, as these parameters are not
 visible to the LLM.
 
 [alloydb-psv]: https://cloud.google.com/alloydb/docs/parameterized-secure-views-overview
 
-{{< notice tip >}} Make sure to enable the `parameterized_views` extension before running this tool. You can do so by running this command in the AlloyDB studio:
-```sql
-CREATE EXTENSION IF NOT EXISTS parameterized_views;
-```
-{{< /notice >}}
-
 ## Example
 
 ```yaml
@@ -94,13 +88,14 @@ tools:
       - name: user_email
         type: string
         description: User ID of the logged in user.
-        # note: we strongly recommend using features like Authenticated or
-        # Bound parameters to prevent the LLM from seeing these params and
+        # note: we strongly recommend using features like Authenticated or 
+        # Bound parameters to prevent the LLM from seeing these params and 
         # specifying values it shouldn't in the tool input
         authServices:
           - name: my_google_service
             field: email
 ```
+
 ## Reference
 
 | **field**          |                  **type**                  | **required** | **description**                                                          |
@@ -109,4 +104,4 @@ tools:
 | source             |                   string                   |     true     | Name of the AlloyDB source the natural language query should execute on. |
 | description        |                   string                   |     true     | Description of the tool that is passed to the LLM.                       |
 | nlConfig           |                   string                   |     true     | The name of the  `nl_config` in AlloyDB                                  |
-| nlConfigParameters | [parameters](../#specifying-parameters) |     true     | List of PSV parameters defined in the `nl_config`                        |
+| nlConfigParameters | [parameters](_index#specifying-parameters) |     true     | List of PSV parameters defined in the `nl_config`                        |

docs/en/resources/tools/bigquery/bigquery-execute-sql.md

@@ -2,7 +2,7 @@
 title: "bigquery-execute-sql"
 type: docs
 weight: 1
-description: >
+description: > 
   A "bigquery-execute-sql" tool executes a SQL statement against BigQuery.
 aliases:
 - /resources/tools/bigquery-execute-sql
@@ -13,11 +13,10 @@ aliases:
 A `bigquery-execute-sql` tool executes a SQL statement against BigQuery.
 It's compatible with the following sources:
 
-- [bigquery](../../sources/bigquery.md)
+- [bigquery](../sources/bigquery.md)
 
-`bigquery-execute-sql` takes a required `sql` input parameter and runs the SQL
-statement against the configured `source`. It also supports an optional `dry_run`
-parameter to validate a query without executing it.
+`bigquery-execute-sql` takes one input parameter `sql` and runs the sql
+statement against the `source`.
 
 ## Example
 

docs/en/resources/tools/bigquery/bigquery-forecast.md

@@ -1,49 +0,0 @@
----
-title: "bigquery-forecast"
-type: docs
-weight: 1
-description: >
-  A "bigquery-forecast" tool forecasts time series data in BigQuery.
-aliases:
-- /resources/tools/bigquery-forecast
----
-
-## About
-
-A `bigquery-forecast` tool forecasts time series data in BigQuery.
-It's compatible with the following sources:
-
-- [bigquery](../../sources/bigquery.md)
-
-`bigquery-forecast` constructs and executes a `SELECT * FROM AI.FORECAST(...)` query based on the provided parameters:
-
-- **history_data** (string, required): This specifies the source of the historical time series data. It can be either a fully qualified BigQuery table ID (e.g., my-project.my_dataset.my_table) or a SQL query that returns the data.
-- **timestamp_col** (string, required): The name of the column in your history_data that contains the timestamps.
-- **data_col** (string, required): The name of the column in your history_data that contains the numeric values to be forecasted.
-- **id_cols** (array of strings, optional): If you are forecasting multiple time series at once (e.g., sales for different products), this parameter takes an array of column names that uniquely identify each series. It defaults to an empty array if not provided.
-- **horizon** (integer, optional): The number of future time steps you want to predict. It defaults to 10 if not specified.
-
-## Example
-
-```yaml
-tools:
- forecast_tool:
-    kind: bigquery-forecast
-    source: my-bigquery-source
-    description: Use this tool to forecast time series data in BigQuery.
-```
-
-## Sample Prompt
-You can use the following sample prompts to call this tool:
-
-- Can you forecast the history time series data in bigquery table `bqml_tutorial.google_analytic`? Use project_id `myproject`.
-- What are the future `total_visits` in bigquery table `bqml_tutorial.google_analytic`?
-
-
-## Reference
-
-| **field**   |                  **type**                  | **required** | **description**                                                                                  |
-|-------------|:------------------------------------------:|:------------:|--------------------------------------------------------------------------------------------------|
-| kind        |                   string                   |     true     | Must be "bigquery-forecast".                                                                  |
-| source      |                   string                   |     true     | Name of the source the forecast tool should execute on.                                                    |
-| description |                   string                   |     true     | Description of the tool that is passed to the LLM.                                               |

docs/en/resources/tools/bigquery/bigquery-get-dataset-info.md

@@ -2,7 +2,7 @@
 title: "bigquery-get-dataset-info"
 type: docs
 weight: 1
-description: >
+description: > 
   A "bigquery-get-dataset-info" tool retrieves metadata for a BigQuery dataset.
 aliases:
 - /resources/tools/bigquery-get-dataset-info
@@ -13,10 +13,10 @@ aliases:
 A `bigquery-get-dataset-info` tool retrieves metadata for a BigQuery dataset.
 It's compatible with the following sources:
 
-- [bigquery](../../sources/bigquery.md)
+- [bigquery](../sources/bigquery.md)
 
 `bigquery-get-dataset-info` takes a `dataset` parameter to specify the dataset
-on the given source. It also optionally accepts a `project` parameter to
+on the given source. It also optionally accepts a `project` parameter to 
 define the Google Cloud project ID. If the `project` parameter is not provided,
 the tool defaults to using the project defined in the source configuration.
 

docs/en/resources/tools/bigquery/bigquery-get-table-info.md

@@ -2,7 +2,7 @@
 title: "bigquery-get-table-info"
 type: docs
 weight: 1
-description: >
+description: > 
   A "bigquery-get-table-info" tool retrieves metadata for a BigQuery table.
 aliases:
 - /resources/tools/bigquery-get-table-info
@@ -13,11 +13,11 @@ aliases:
 A `bigquery-get-table-info` tool retrieves metadata for a BigQuery table.
 It's compatible with the following sources:
 
-- [bigquery](../../sources/bigquery.md)
+- [bigquery](../sources/bigquery.md)
 
 `bigquery-get-table-info` takes `dataset` and `table` parameters to specify
-the target table. It also optionally accepts a `project` parameter to define
-the Google Cloud project ID. If the `project` parameter is not provided, the
+the target table. It also optionally accepts a `project` parameter to define 
+the Google Cloud project ID. If the `project` parameter is not provided, the 
 tool defaults to using the project defined in the source configuration.
 
 ## Example

docs/en/resources/tools/bigquery/bigquery-list-dataset-ids.md

@@ -2,7 +2,7 @@
 title: "bigquery-list-dataset-ids"
 type: docs
 weight: 1
-description: >
+description: > 
   A "bigquery-list-dataset-ids" tool returns all dataset IDs from the source.
 aliases:
 - /resources/tools/bigquery-list-dataset-ids
@@ -13,10 +13,10 @@ aliases:
 A `bigquery-list-dataset-ids` tool returns all dataset IDs from the source.
 It's compatible with the following sources:
 
-- [bigquery](../../sources/bigquery.md)
+- [bigquery](../sources/bigquery.md)
 
-`bigquery-list-dataset-ids` optionally accepts a `project` parameter to define
-the Google Cloud project ID. If the `project` parameter is not provided, the
+`bigquery-list-dataset-ids` optionally accepts a `project` parameter to define 
+the Google Cloud project ID. If the `project` parameter is not provided, the 
 tool defaults to using the project defined in the source configuration.
 
 ## Example

docs/en/resources/tools/bigquery/bigquery-list-table-ids.md

@@ -2,7 +2,7 @@
 title: "bigquery-list-table-ids"
 type: docs
 weight: 1
-description: >
+description: > 
   A "bigquery-list-table-ids" tool returns table IDs in a given BigQuery dataset.
 aliases:
 - /resources/tools/bigquery-list-table-ids
@@ -13,11 +13,11 @@ aliases:
 A `bigquery-list-table-ids` tool returns table IDs in a given BigQuery dataset.
 It's compatible with the following sources:
 
-- [bigquery](../../sources/bigquery.md)
+- [bigquery](../sources/bigquery.md)
 
-`bigquery-list-table-ids` takes a required `dataset` parameter to specify the dataset
-from which to list table IDs. It also optionally accepts a `project` parameter to
-define the Google Cloud project ID. If the `project` parameter is not provided, the
+`bigquery-get-dataset-info` takes a required `dataset` parameter to specify the dataset
+from which to list table IDs. It also optionally accepts a `project` parameter to 
+define the Google Cloud project ID. If the `project` parameter is not provided, the 
 tool defaults to using the project defined in the source configuration.
 
 ## Example

docs/en/resources/tools/bigquery/bigquery-sql.md

@@ -13,7 +13,7 @@ aliases:
 A `bigquery-sql` tool executes a pre-defined SQL statement. It's compatible with
 the following sources:
 
-- [bigquery](../../sources/bigquery.md)
+- [bigquery](../sources/bigquery.md)
 
 ### GoogleSQL
 
@@ -72,7 +72,7 @@ tools:
 > including identifiers, column names, and table names. **This makes it more
 > vulnerable to SQL injections**. Using basic parameters only (see above) is
 > recommended for performance and safety reasons. For more details, please check
-> [templateParameters](../#template-parameters).
+> [templateParameters](_index#template-parameters).
 
 ```yaml
 tools:
@@ -101,5 +101,5 @@ tools:
 | source             |                   string                         |     true     | Name of the source the GoogleSQL should execute on.                                                                                        |
 | description        |                   string                         |     true     | Description of the tool that is passed to the LLM.                                                                                         |
 | statement          |                   string                         |     true     | The GoogleSQL statement to execute.                                                                                                        |
-| parameters         | [parameters](../#specifying-parameters)       |    false     | List of [parameters](../#specifying-parameters) that will be inserted into the SQL statement.                                           |
-| templateParameters | [templateParameters](../#template-parameters) |    false     | List of [templateParameters](../#template-parameters) that will be inserted into the SQL statement before executing prepared statement. |
+| parameters         | [parameters](_index#specifying-parameters)       |    false     | List of [parameters](_index#specifying-parameters) that will be inserted into the SQL statement.                                           |
+| templateParameters | [templateParameters](_index#template-parameters) |    false     | List of [templateParameters](_index#template-parameters) that will be inserted into the SQL statement before executing prepared statement. |

docs/en/resources/tools/bigtable/bigtable-sql.md

@@ -2,8 +2,8 @@
 title: "bigtable-sql"
 type: docs
 weight: 1
-description: >
-  A "bigtable-sql" tool executes a pre-defined SQL statement against a Google
+description: > 
+  A "bigtable-sql" tool executes a pre-defined SQL statement against a Google 
   Cloud Bigtable instance.
 aliases:
 - /resources/tools/bigtable-sql
@@ -14,7 +14,7 @@ aliases:
 A `bigtable-sql` tool executes a pre-defined SQL statement against a Bigtable
 instance. It's compatible with any of the following sources:
 
-- [bigtable](../../sources/bigtable.md)
+- [bigtable](../sources/bigtable.md)
 
 ### GoogleSQL
 
@@ -23,13 +23,6 @@ dialect, the specified SQL statement is executed as a [data manipulation
 language (DML)][bigtable-googlesql] statements, and specified parameters will
 inserted according to their name: e.g. `@name`.
 
-{{<notice note>}}
-  Bigtable's GoogleSQL support for DML statements might be limited to certain
-  query types. For detailed information on supported DML statements and use
-  cases, refer to the [Bigtable GoogleSQL use
-  cases](https://cloud.google.com/bigtable/docs/googlesql-overview#use-cases).
-{{</notice>}}
-
 [bigtable-googlesql]: https://cloud.google.com/bigtable/docs/googlesql-overview
 
 ## Example
@@ -45,13 +38,13 @@ tools:
     kind: bigtable-sql
     source: my-bigtable-instance
     statement: |
-      SELECT
-        TO_INT64(cf[ 'id' ]) as id,
-        CAST(cf[ 'name' ] AS string) as name,
-      FROM
-        mytable
-      WHERE
-        TO_INT64(cf[ 'id' ]) = @id
+      SELECT 
+        TO_INT64(cf[ 'id' ]) as id, 
+        CAST(cf[ 'name' ] AS string) as name, 
+      FROM 
+        mytable 
+      WHERE 
+        TO_INT64(cf[ 'id' ]) = @id 
         OR CAST(cf[ 'name' ] AS string) = @name;
     description: |
       Use this tool to get information for a specific user.
@@ -77,7 +70,7 @@ tools:
 > including identifiers, column names, and table names. **This makes it more
 > vulnerable to SQL injections**. Using basic parameters only (see above) is
 > recommended for performance and safety reasons. For more details, please check
-> [templateParameters](..#template-parameters).
+> [templateParameters](_index#template-parameters).
 
 ```yaml
 tools:
@@ -106,8 +99,8 @@ tools:
 | source             |                   string                         |     true     | Name of the source the SQL should execute on.                                                                                              |
 | description        |                   string                         |     true     | Description of the tool that is passed to the LLM.                                                                                         |
 | statement          |                   string                         |     true     | SQL statement to execute on.                                                                                                               |
-| parameters         | [parameters](../#specifying-parameters)       |    false     | List of [parameters](../#specifying-parameters) that will be inserted into the SQL statement.                                           |
-| templateParameters | [templateParameters](..#template-parameters) |    false     | List of [templateParameters](..#template-parameters) that will be inserted into the SQL statement before executing prepared statement. |
+| parameters         | [parameters](_index#specifying-parameters)       |    false     | List of [parameters](_index#specifying-parameters) that will be inserted into the SQL statement.                                           |
+| templateParameters | [templateParameters](_index#template-parameters) |    false     | List of [templateParameters](_index#template-parameters) that will be inserted into the SQL statement before executing prepared statement. |
 
 ## Tips
 

docs/en/resources/tools/couchbase/couchbase-sql.md

@@ -2,7 +2,7 @@
 title: "couchbase-sql"
 type: docs
 weight: 1
-description: >
+description: > 
   A "couchbase-sql" tool executes a pre-defined SQL statement against a Couchbase
   database.
 aliases:
@@ -14,7 +14,7 @@ aliases:
 A `couchbase-sql` tool executes a pre-defined SQL statement against a Couchbase
 database. It's compatible with any of the following sources:
 
-- [couchbase](../../sources/couchbase.md)
+- [couchbase](../sources/couchbase.md)
 
 The specified SQL statement is executed as a parameterized statement, and specified
 parameters will be used according to their name: e.g. `$id`.
@@ -66,7 +66,7 @@ tools:
 > including identifiers, column names, and table names. **This makes it more
 > vulnerable to SQL injections**. Using basic parameters only (see above) is
 > recommended for performance and safety reasons. For more details, please check
-> [templateParameters](..#template-parameters).
+> [templateParameters](_index#template-parameters).
 
 ```yaml
 tools:
@@ -95,6 +95,6 @@ tools:
 | source             |                   string                         |     true     | Name of the source the SQL query should execute on.                                                                                        |
 | description        |                   string                         |     true     | Description of the tool that is passed to the LLM.                                                                                         |
 | statement          |                   string                         |     true     | SQL statement to execute                                                                                                                   |
-| parameters         | [parameters](../#specifying-parameters)       |    false     | List of [parameters](../#specifying-parameters) that will be used with the SQL statement.                                               |
-| templateParameters | [templateParameters](..#template-parameters) |    false     | List of [templateParameters](..#template-parameters) that will be inserted into the SQL statement before executing prepared statement. |
+| parameters         | [parameters](_index#specifying-parameters)       |    false     | List of [parameters](_index#specifying-parameters) that will be used with the SQL statement.                                               |
+| templateParameters | [templateParameters](_index#template-parameters) |    false     | List of [templateParameters](_index#template-parameters) that will be inserted into the SQL statement before executing prepared statement. |
 | authRequired       |                array[string]                     |    false     | List of auth services that are required to use this tool.                                                                                  |

docs/en/resources/tools/dataplex/_index.md

@@ -1,7 +0,0 @@
----
-title: "Dataplex"
-type: docs
-weight: 1
-description: > 
-  Tools that work with Dataplex Sources.
----

docs/en/resources/tools/dataplex/dataplex-lookup-entry.md

@@ -1,60 +0,0 @@
----
-title: "dataplex-lookup-entry"
-type: docs
-weight: 1
-description: > 
-  A "dataplex-lookup-entry" tool returns details of a particular entry in Dataplex Catalog.
-aliases:
-- /resources/tools/dataplex-lookup-entry
----
-
-## About
-
-A `dataplex-lookup-entry` tool returns details of a particular entry in Dataplex Catalog.
-It's compatible with the following sources:
-
-- [dataplex](../sources/dataplex.md)
-
-`dataplex-lookup-entry` takes a required `name` parameter which contains the project and location to which the request should be attributed in the following form: projects/{project}/locations/{location} and also a required `entry` parameter which is the resource name of the entry in the following form: projects/{project}/locations/{location}/entryGroups/{entryGroup}/entries/{entry}. It also optionally accepts following parameters:
-  - `view` - View to control which parts of an entry the service should return. It takes integer values from 1-4 corresponding to type of view - BASIC, FULL, CUSTOM, ALL
-  - `aspectTypes` - Limits the aspects returned to the provided aspect types in the format `projects/{project}/locations/{location}/aspectTypes/{aspectType}`. It only works for CUSTOM view.
-  - `paths` - Limits the aspects returned to those associated with the provided paths within the Entry. It only works for CUSTOM view.
-
-## Requirements
-
-### IAM Permissions
-
-Dataplex uses [Identity and Access Management (IAM)][iam-overview] to control
-user and group access to Dataplex resources. Toolbox will use your 
-[Application Default Credentials (ADC)][adc] to authorize and authenticate when 
-interacting with [Dataplex][dataplex-docs].
-
-In addition to [setting the ADC for your server][set-adc], you need to ensure
-the IAM identity has been given the correct IAM permissions for the tasks you
-intend to perform. See [Dataplex Universal Catalog IAM permissions][iam-permissions] 
-and [Dataplex Universal Catalog IAM roles][iam-roles] for more information on
-applying IAM permissions and roles to an identity.
-
-[iam-overview]: https://cloud.google.com/dataplex/docs/iam-and-access-control
-[adc]: https://cloud.google.com/docs/authentication#adc
-[set-adc]: https://cloud.google.com/docs/authentication/provide-credentials-adc
-[iam-permissions]: https://cloud.google.com/dataplex/docs/iam-permissions
-[iam-roles]: https://cloud.google.com/dataplex/docs/iam-roles
-
-## Example
-
-```yaml
-tools:
-  lookup_entry:
-    kind: dataplex-lookup-entry
-    source: my-dataplex-source
-    description: Use this tool to retrieve a specific entry in Dataplex Catalog.
-```
-
-## Reference
-
-| **field**   |                  **type**                  | **required** | **description**                                                                                  |
-|-------------|:------------------------------------------:|:------------:|--------------------------------------------------------------------------------------------------|
-| kind        |                   string                   |     true     | Must be "dataplex-lookup-entry".                                                                 |
-| source      |                   string                   |     true     | Name of the source the tool should execute on.                                                   |
-| description |                   string                   |     true     | Description of the tool that is passed to the LLM.                                               |

docs/en/resources/tools/dataplex/dataplex-search-aspect-types.md

@@ -1,62 +0,0 @@
----
-title: "dataplex-search-aspect-types"
-type: docs
-weight: 1
-description: >
-  A "dataplex-search-aspect-types" tool allows to to find aspect types relevant to the query.
-aliases:
-- /resources/tools/dataplex-search-aspect-types
----
-
-## About
-
-A `dataplex-search-aspect-types` tool allows to fetch the metadata template of aspect types based on search query.
-It's compatible with the following sources:
-
-- [dataplex](../../sources/dataplex.md)
-
-`dataplex-search-aspect-types` accepts following parameters optionally:
-
-- `query` - Narrows down the search of aspect types to value of this parameter. If not provided, it fetches all aspect types available to the user.
-- `pageSize` - Number of returned aspect types in the search page. Defaults to `5`.
-- `orderBy` - Specifies the ordering of results. Supported values are: relevance (default), last_modified_timestamp, last_modified_timestamp asc.
-
-## Requirements
-
-### IAM Permissions
-
-Dataplex uses [Identity and Access Management (IAM)][iam-overview] to control
-user and group access to Dataplex resources. Toolbox will use your
-[Application Default Credentials (ADC)][adc] to authorize and authenticate when
-interacting with [Dataplex][dataplex-docs].
-
-In addition to [setting the ADC for your server][set-adc], you need to ensure
-the IAM identity has been given the correct IAM permissions for the tasks you
-intend to perform. See [Dataplex Universal Catalog IAM permissions][iam-permissions]
-and [Dataplex Universal Catalog IAM roles][iam-roles] for more information on
-applying IAM permissions and roles to an identity.
-
-[iam-overview]: https://cloud.google.com/dataplex/docs/iam-and-access-control
-[adc]: https://cloud.google.com/docs/authentication#adc
-[set-adc]: https://cloud.google.com/docs/authentication/provide-credentials-adc
-[iam-permissions]: https://cloud.google.com/dataplex/docs/iam-permissions
-[iam-roles]: https://cloud.google.com/dataplex/docs/iam-roles
-[dataplex-docs]: https://cloud.google.com/dataplex
-
-## Example
-
-```yaml
-tools:
-  dataplex-search-aspect-types:
-    kind: dataplex-search-aspect-types
-    source: my-dataplex-source
-    description: Use this tool to find aspect types relevant to the query.
-```
-
-## Reference
-
-| **field**   |                  **type**                  | **required** | **description**                                                                                  |
-|-------------|:------------------------------------------:|:------------:|--------------------------------------------------------------------------------------------------|
-| kind        |                   string                   |     true     | Must be "dataplex-search-aspect-types".                                                          |
-| source      |                   string                   |     true     | Name of the source the tool should execute on.                                                   |
-| description |                   string                   |     true     | Description of the tool that is passed to the LLM.                                               |

docs/en/resources/tools/dataplex/dataplex-search-entries.md

@@ -1,64 +0,0 @@
----
-title: "dataplex-search-entries"
-type: docs
-weight: 1
-description: >
-  A "dataplex-search-entries" tool allows to search for entries based on the provided query.
-aliases:
-- /resources/tools/dataplex-search-entries
----
-
-## About
-
-A `dataplex-search-entries` tool returns all entries in Dataplex Catalog (e.g.
-tables, views, models) that matches given user query.
-It's compatible with the following sources:
-
-- [dataplex](../../sources/dataplex.md)
-
-`dataplex-search-entries` takes a required `query` parameter based on which
-entries are filtered and returned to the user. It also optionally accepts following parameters:
-
-- `pageSize` - Number of results in the search page. Defaults to `5`.
-- `orderBy` - Specifies the ordering of results. Supported values are: relevance
-  (default), last_modified_timestamp, last_modified_timestamp asc.
-
-## Requirements
-
-### IAM Permissions
-
-Dataplex uses [Identity and Access Management (IAM)][iam-overview] to control
-user and group access to Dataplex resources. Toolbox will use your
-[Application Default Credentials (ADC)][adc] to authorize and authenticate when
-interacting with [Dataplex][dataplex-docs].
-
-In addition to [setting the ADC for your server][set-adc], you need to ensure
-the IAM identity has been given the correct IAM permissions for the tasks you
-intend to perform. See [Dataplex Universal Catalog IAM permissions][iam-permissions]
-and [Dataplex Universal Catalog IAM roles][iam-roles] for more information on
-applying IAM permissions and roles to an identity.
-
-[iam-overview]: https://cloud.google.com/dataplex/docs/iam-and-access-control
-[adc]: https://cloud.google.com/docs/authentication#adc
-[set-adc]: https://cloud.google.com/docs/authentication/provide-credentials-adc
-[iam-permissions]: https://cloud.google.com/dataplex/docs/iam-permissions
-[iam-roles]: https://cloud.google.com/dataplex/docs/iam-roles
-[dataplex-docs]: https://cloud.google.com/dataplex
-
-## Example
-
-```yaml
-tools:
-  dataplex-search-entries:
-    kind: dataplex-search-entries
-    source: my-dataplex-source
-    description: Use this tool to get all the entries based on the provided query.
-```
-
-## Reference
-
-| **field**   |                  **type**                  | **required** | **description**                                                                                  |
-|-------------|:------------------------------------------:|:------------:|--------------------------------------------------------------------------------------------------|
-| kind        |                   string                   |     true     | Must be "dataplex-search-entries".                                                               |
-| source      |                   string                   |     true     | Name of the source the tool should execute on.                                                   |
-| description |                   string                   |     true     | Description of the tool that is passed to the LLM.                                               |

docs/en/resources/tools/dgraph/dgraph-dql.md

@@ -2,7 +2,7 @@
 title: "dgraph-dql"
 type: docs
 weight: 1
-description: >
+description: > 
   A "dgraph-dql" tool executes a pre-defined DQL statement against a Dgraph
   database.
 aliases:
@@ -14,7 +14,7 @@ aliases:
 A `dgraph-dql` tool executes a pre-defined DQL statement against a Dgraph
 database. It's compatible with any of the following sources:
 
-- [dgraph](../../sources/dgraph.md)
+- [dgraph](../sources/dgraph.md)
 
 To run a statement as a query, you need to set the config `isQuery=true`. For
 upserts or mutations, set `isQuery=false`. You can also configure timeout for a
@@ -121,4 +121,4 @@ tools:
 | statement   |                   string                   |     true     | dql statement to execute                                                                     |
 | isQuery     |                  boolean                   |    false     | To run statement as query set true otherwise false                                           |
 | timeout     |                   string                   |    false     | To set timeout for query                                                                     |
-| parameters  | [parameters](../#specifying-parameters) |    false     | List of [parameters](../#specifying-parameters) that will be used with the dql statement. |
+| parameters  | [parameters](_index#specifying-parameters) |    false     | List of [parameters](_index#specifying-parameters) that will be used with the dql statement. |