## Description
Add support for healthcare source, tool and prebuilt config. This branch
consist of all previously approved PRs.
🛠️Fixes#1648
---------
Co-authored-by: Marwan Tammam <15021613+Quarz0@users.noreply.github.com>
Move postgres prebuilt integration tests to `common.go` and `tool.go`.
Run those tests from alloydbpg and cloudsqlpg as well.
alloydbpg and cloudsqlpg integration test coverage calculate against the
whole `internal/tools/postgres/` folder. If not added, the coverage will
eventually drop below minimum requirement.
## Description
The run_dashboard tool will run the query associated with each tile of
the dashboard and return the full set of query results. It enables the
agent to answer questions like "Summarize this dashboard for me".
---------
Co-authored-by: Yuan Teoh <45984206+Yuan325@users.noreply.github.com>
## Description
---
- This PR adds SingleStore database source and tools. The code is mostly
based on MySQL source and tools, and it uses the same go-mysql driver.
- https://github.com/singlestore-labs/singlestoredb-dev-image can be
used to deploy a test SingleStore instance. In this PR the default port
is set to 3308 so the command would be
```docker run \
-d --name singlestoredb-dev \
-e ROOT_PASSWORD="YOUR SINGLESTORE ROOT PASSWORD" \
-p 3308:3306 ghcr.io/singlestore-labs/singlestoredb-dev:latest
```
## 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:
- [x] Make sure you reviewed
[CONTRIBUTING.md](https://github.com/googleapis/genai-toolbox/blob/main/CONTRIBUTING.md)
- [x] 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
- [x] Ensure the tests and linter pass
- [x] Code coverage does not decrease (if any source code was changed)
- [x] Appropriate docs were updated (if necessary)
- [x] Make sure to add `!` if this involve a breaking change
🛠️ Fixes https://github.com/googleapis/genai-toolbox/issues/1348
---------
Co-authored-by: Wenxin Du <117315983+duwenxin99@users.noreply.github.com>
## Description
Add a read-only PostgreSQL custom list_schemas tool, that returns the
schemas present in the database excluding system and temporary schemas.
Returns the schema name, schema owner, grants, number of functions,
number of tables, and number of views within each schema.
<img width="1985" height="1043" alt="Screenshot 2025-10-20 at 7 45
45 PM"
src="https://github.com/user-attachments/assets/8c4f0bb8-587c-489a-8795-efa79e92b06f"
/>
<img width="3372" height="1694" alt="3NpZG7W6h3XGsM7"
src="https://github.com/user-attachments/assets/370b5440-cc48-4c4e-82ea-4fd508cbcf2b"
/>
> 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:
- [x] Make sure you reviewed
[CONTRIBUTING.md](https://github.com/googleapis/genai-toolbox/blob/main/CONTRIBUTING.md)
- [x] Make sure to open an issue as a
[bug/issue](https://github.com/googleapis/genai-toolbox/issues/new/choose)
before writing your code! That way we can discuss the change, evaluate
designs, and agree on the general idea
- [x] Ensure the tests and linter pass
- [x] Code coverage does not decrease (if any source code was changed)
- [x] Appropriate docs were updated (if necessary)
- [x] Make sure to add `!` if this involve a breaking change
🛠️ Fixes #<issue_number_goes_here>
Co-authored-by: Yuan Teoh <45984206+Yuan325@users.noreply.github.com>
Update bigquery test to include column order for SELECT statement.
Update mindsdb tests to drop table before creating. The whole
integration test pause when there's a failure from any one of
integration tests. If the test pause after `CREATE` and before `DROP`,
the int test will fail when running it again.
In general tests should be parallizable since they interact only with a
deterministic set of batches. The exception is list-batches, especially
with pagination, so run that one sequentially.
This doesn't make much difference for the current set of tests, but in
the near future we will have tests that create batches, which take tens
of seconds to even start running.
Rearrange subtests to be primarily organized by tool, which is more
understandable and easier to filter with `-run`. Test helper methods can
still be called multiple times in different subtests for different
tools.
Sample test output showing the new structure:
```
--- PASS: TestServerlessSparkToolEndpoints (2.01s)
--- PASS: TestServerlessSparkToolEndpoints/list-batches (1.78s)
--- PASS: TestServerlessSparkToolEndpoints/list-batches/success (1.23s)
--- PASS: TestServerlessSparkToolEndpoints/list-batches/success/filtered (0.34s)
--- PASS: TestServerlessSparkToolEndpoints/list-batches/success/empty (0.40s)
--- PASS: TestServerlessSparkToolEndpoints/list-batches/success/omit_page_size (0.42s)
--- PASS: TestServerlessSparkToolEndpoints/list-batches/success/one_page (0.43s)
--- PASS: TestServerlessSparkToolEndpoints/list-batches/success/20_batches (0.44s)
--- PASS: TestServerlessSparkToolEndpoints/list-batches/success/two_pages (0.54s)
--- PASS: TestServerlessSparkToolEndpoints/list-batches/errors (0.00s)
--- PASS: TestServerlessSparkToolEndpoints/list-batches/errors/negative_page_size (0.01s)
--- PASS: TestServerlessSparkToolEndpoints/list-batches/errors/zero_page_size (0.01s)
--- PASS: TestServerlessSparkToolEndpoints/list-batches/auth (0.77s)
--- PASS: TestServerlessSparkToolEndpoints/list-batches/auth/no_auth_token (0.00s)
--- PASS: TestServerlessSparkToolEndpoints/list-batches/auth/invalid_auth_token (0.00s)
--- PASS: TestServerlessSparkToolEndpoints/list-batches/auth/valid_auth_token (0.18s)
--- PASS: TestServerlessSparkToolEndpoints/parallel-tool-tests (0.00s)
--- PASS: TestServerlessSparkToolEndpoints/parallel-tool-tests/get-batch (0.09s)
--- PASS: TestServerlessSparkToolEndpoints/parallel-tool-tests/get-batch/errors (0.00s)
--- PASS: TestServerlessSparkToolEndpoints/parallel-tool-tests/get-batch/errors/full_batch_name (0.01s)
--- PASS: TestServerlessSparkToolEndpoints/parallel-tool-tests/get-batch/errors/missing_batch (0.11s)
--- PASS: TestServerlessSparkToolEndpoints/parallel-tool-tests/get-batch/success (0.21s)
--- PASS: TestServerlessSparkToolEndpoints/parallel-tool-tests/get-batch/success/found_batch (0.11s)
--- PASS: TestServerlessSparkToolEndpoints/parallel-tool-tests/get-batch/auth (0.60s)
--- PASS: TestServerlessSparkToolEndpoints/parallel-tool-tests/get-batch/auth/invalid_auth_token (0.00s)
--- PASS: TestServerlessSparkToolEndpoints/parallel-tool-tests/get-batch/auth/no_auth_token (0.00s)
--- PASS: TestServerlessSparkToolEndpoints/parallel-tool-tests/get-batch/auth/valid_auth_token (0.11s)
```
🚀 Add MindsDB Integration: Expand Toolbox to Hundreds of Datasources
Overview
This PR introduces comprehensive MindsDB integration to the Google GenAI
Toolbox, enabling SQL queries across hundreds of datasources through a
unified interface. MindsDB is the most widely adopted AI federated
database that automatically translates MySQL queries into REST APIs,
GraphQL, and native protocols.
🎯 Key Value for Google GenAI Toolbox Ecosystem
1. Massive Datasource Expansion
Before: Toolbox limited to ~15 traditional databases
After: Access to hundreds of datasources including Salesforce, Jira,
GitHub, MongoDB, Gmail, Slack, and more
Impact: Dramatically expands the toolbox's reach and utility for
enterprise users
2. Cross-Datasource Analytics
New Capability: Perform joins and analytics across different datasources
seamlessly
Example: Join Salesforce opportunities with GitHub activity to correlate
sales with development activity
Value: Enables comprehensive data analysis that was previously
impossible
3. API Abstraction Layer
Innovation: Write standard SQL queries that automatically translate to
any API
Benefit: Developers can query REST APIs, GraphQL, and native protocols
using familiar SQL syntax
Impact: Reduces complexity and learning curve for accessing diverse
datasources
4. ML Model Integration
Enhanced Capability: Use ML models as virtual tables for real-time
predictions
Example: Query customer churn predictions directly through SQL
Value: Brings AI/ML capabilities into the standard SQL workflow
🔧 Technical Implementation
Source Layer
✅ New MindsDB source implementation using MySQL wire protocol
✅ Comprehensive test coverage with integration tests
✅ Updated existing MySQL tools to support MindsDB sources
✅ Created dedicated MindsDB tools for enhanced functionality
Tools Layer
✅ mindsdb-execute-sql: Direct SQL execution across federated datasources
✅ mindsdb-sql: Parameterized SQL queries with template support
✅ Backward compatibility with existing MySQL tools
Documentation & Configuration
✅ Comprehensive documentation with real-world examples
✅ Prebuilt configuration for easy setup
✅ Updated CLI help text and command-line options
📊 Supported Datasources
Business Applications
Salesforce (leads, opportunities, accounts)
Jira (issues, projects, workflows)
GitHub (repositories, commits, PRs)
Slack (channels, messages, teams)
HubSpot (contacts, companies, deals)
Databases & Storage
MongoDB (NoSQL collections as structured tables)
Redis (key-value stores)
Elasticsearch (search and analytics)
S3, filesystems, etc (file storage)
Communication & Email
Gmail/Outlook (emails, attachments)
Microsoft Teams (communications, files)
Discord (server data, messages)
🎯 Example Use Cases
Cross-Datasource Analytics
-- Join Salesforce opportunities with GitHub activity
```
SELECT
s.opportunity_name,
s.amount,
g.repository_name,
COUNT(g.commits) as commit_count
FROM salesforce.opportunities s
JOIN github.repositories g ON s.account_id = g.owner_id
WHERE s.stage = 'Closed Won';
```
Email & Communication Analysis
```
-- Analyze email patterns with Slack activity
SELECT
e.sender,
e.subject,
s.channel_name,
COUNT(s.messages) as message_count
FROM gmail.emails e
JOIN slack.messages s ON e.sender = s.user_name
WHERE e.date >= '2024-01-01';
```
🚀 Benefits for Google GenAI Toolbox
Enterprise Adoption: Enables access to enterprise datasources
(Salesforce, Jira, etc.)
Developer Productivity: Familiar SQL interface for any datasource
AI/ML Integration: Seamless integration of ML models into SQL workflows
Scalability: Single interface for hundreds of datasources
Competitive Advantage: Unique federated database capabilities in the
toolbox ecosystem
📈 Impact Metrics
Datasource Coverage: +1000% increase in supported datasources
API Abstraction: Eliminates need to learn individual API syntaxes
Cross-Platform Analytics: Enables previously impossible data
correlations
ML Integration: Brings AI capabilities into standard SQL workflows
🔗 Resources
MindsDB Documentation
MindsDB GitHub
Updated Toolbox Documentation
✅ Testing
✅ Unit tests for MindsDB source implementation
✅ Integration tests with real datasource examples
✅ Backward compatibility with existing MySQL tools
✅ Documentation examples tested and verified
This integration transforms the Google GenAI Toolbox from a traditional
database tool into a comprehensive federated data platform, enabling
users to query and analyze data across their entire technology stack
through a unified SQL interface.
---------
Co-authored-by: duwenxin <duwenxin@google.com>
Co-authored-by: setohe0909 <setohe.09@gmail.com>
Co-authored-by: Kurtis Van Gent <31518063+kurtisvg@users.noreply.github.com>
Co-authored-by: Wenxin Du <117315983+duwenxin99@users.noreply.github.com>
Co-authored-by: Yuan Teoh <45984206+Yuan325@users.noreply.github.com>
## Description
The order of parameters in alloydb_ai_nl.execute_nl_query changed, which
broke the alloydbainl tool. This adds named parameters to the statement
in the tool, which fixes this.
This will be a breaking change for existing user that defined their
natural language configuration with the `create_configure` operation.
The `execute_nl_query` input argument parameter and order had been
updated recently, hence, users that are defining their configuration
with the latest instructions will not be able to use Toolbox. This
update is inevitable.
Previously, user will create the configuration with the following:
```
CALL google_ml.create_model(model_id => 'gemini-2_0_flash', ...);
SELECT alloydb_ai_nl.g_manage_configuration(
'create_configuration', -- operation
'my_nl_config', -- configuration_id_in
'gemini-2_0_flash' -- model_id_in
);
SELECT alloydb_ai_nl.g_manage_configuration(
operation => 'register_table_view',
configuration_id_in => 'my_nl_config',
table_views_in=>'{auth_psv}');
```
Currently, user will create the configuration with the following:
```
SELECT alloydb_ai_nl.g_create_configuration(configuration_id =>'my_nl_config');
SELECT alloydb_ai_nl.g_manage_configuration(
operation => 'register_table_view',
configuration_id_in => 'my_nl_config',
table_views_in=>'{auth_psv}'
);
```
This PR also updates the nl_question from "return 1" to "return the
number 1" to provide more context to the model.
A new `ainl_update_testing` database was created with the new NL
configuration in order to not break existing integration tests before
merging this PR. Once this is merged, the existing `test_database`
database will be updated and will update the integration test's database
again.
## 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:
- [X] Make sure you reviewed
[CONTRIBUTING.md](https://github.com/googleapis/genai-toolbox/blob/main/CONTRIBUTING.md)
- [X] Make sure to open an issue as a
[bug/issue](https://github.com/googleapis/genai-toolbox/issues/new/choose)
before writing your code! That way we can discuss the change, evaluate
designs, and agree on the general idea
- [X] Ensure the tests and linter pass
- [X] Code coverage does not decrease (if any source code was changed)
- [X] Appropriate docs were updated (if necessary)
- [X] Make sure to add `!` if this involve a breaking change
🛠️Fixes#1752
---------
Co-authored-by: Yuan Teoh <yuanteoh@google.com>
Co-authored-by: Yuan Teoh <45984206+Yuan325@users.noreply.github.com>
## Description
Add new tools to get metadata from databases through Looker
* get_connections
* get_connection_schemas
* get_connection_databases
* get_connection_tables
* get_connection_table_columns
## Description
Invalid SQL like selecting from invalid tables or granting bad
permissions resulted in a null due to the missing error statement.
## 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/genai-toolbox/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#1638
## Description
Removing the `ipAddress` field since it is not an input for Cloud SQL
SQL Server source.
Kept the variable in Source's config but removed this variable from
everywhere else in the code. This will PREVENT a breaking change since
the validator won't flag it as an "extra field".
**Will have to update the following as well:**
(1) Cloud docs
https://cloud.google.com/sql/docs/sqlserver/pre-built-tools-with-mcp-toolbox
(2) gemini-cli-extensions
https://github.com/gemini-cli-extensions/cloud-sql-sqlserver
## 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:
- [x] Make sure you reviewed
[CONTRIBUTING.md](https://github.com/googleapis/genai-toolbox/blob/main/CONTRIBUTING.md)
- [x] Make sure to open an issue as a
[bug/issue](https://github.com/googleapis/genai-toolbox/issues/new/choose)
before writing your code! That way we can discuss the change, evaluate
designs, and agree on the general idea
- [x] Ensure the tests and linter pass
- [x] Code coverage does not decrease (if any source code was changed)
- [x] Appropriate docs were updated (if necessary)
- [x] Make sure to add `!` if this involve a breaking change
🛠️Fixes#1549
## 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/genai-toolbox/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>
---------
Co-authored-by: Yuan Teoh <45984206+Yuan325@users.noreply.github.com>
## Description
---
This introduces a breaking change. The bigquery-get-dataset-info tool
will now enforce the allowed datasets setting from its BigQuery source
configuration. Previously, this setting had no effect on the tool.
## 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/genai-toolbox/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
🛠️ Part of https://github.com/googleapis/genai-toolbox/issues/873
## Description
Adds a read-only PostgreSQL custom list_views tool, that returns the
details of views present in database. Each row includes: schema_name,
view_name, owner_name
Test Output:
<img width="2433" height="1274" alt="Screenshot 2025-10-19 at 3 59
31 PM"
src="https://github.com/user-attachments/assets/76e1e994-390a-4239-aba7-0d02253bbcc4"
/>
<img width="2533" height="1017" alt="Screenshot 2025-10-19 at 4 07
25 PM"
src="https://github.com/user-attachments/assets/537fbddd-d862-4044-a09b-cb9f180c21fa"
/>
## 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:
- [x] Make sure you reviewed
[CONTRIBUTING.md](https://github.com/googleapis/genai-toolbox/blob/main/CONTRIBUTING.md)
- [x] Make sure to open an issue as a
[bug/issue](https://github.com/googleapis/genai-toolbox/issues/new/choose)
before writing your code! That way we can discuss the change, evaluate
designs, and agree on the general idea
- [x] Ensure the tests and linter pass
- [x] Code coverage does not decrease (if any source code was changed)
- [x] Appropriate docs were updated (if necessary)
- [x] Make sure to add `!` if this involve a breaking change
🛠️Fixes#1738
Co-authored-by: Averi Kitsch <akitsch@google.com>
This pull request adds support for a new `dry_run` mode to the Neo4j
Cypher execution tool, allowing users to validate queries and view
execution plans without running them. It also sets a custom user agent
for Neo4j connections and improves error handling and documentation. The
most important changes are grouped below.
### New dry run feature for Cypher execution
* Added an optional `dry_run` boolean parameter to the
`neo4j-execute-cypher` tool, allowing users to validate Cypher queries
and receive execution plan details without running the query. The tool
now prepends `EXPLAIN` to the query when `dry_run` is true and returns a
structured summary of the execution plan.
[[1]](diffhunk://#diff-de7fdd7e68c95ea9813c704a89fffb8fd6de34e81b43a484623fdff7683e18f3L87-R93)
[[2]](diffhunk://#diff-de7fdd7e68c95ea9813c704a89fffb8fd6de34e81b43a484623fdff7683e18f3R155-R188)
[[3]](diffhunk://#diff-de7fdd7e68c95ea9813c704a89fffb8fd6de34e81b43a484623fdff7683e18f3R219-R236)
[[4]](diffhunk://#diff-1dca93fc9450e9b9ea64bc1ae02774c3198ea6f8310b2437815bd1a5eae11e79L30-R32)
* Updated integration tests to cover the new `dry_run` functionality,
including successful dry runs, error handling for invalid syntax, and
enforcement of read-only mode.
[[1]](diffhunk://#diff-b07de4a304bc72964b5de9481cbc6aec6cf9bb9dabd903a837eb8974e7100a90R163-R169)
[[2]](diffhunk://#diff-b07de4a304bc72964b5de9481cbc6aec6cf9bb9dabd903a837eb8974e7100a90R250-R291)
### Improved error handling
* Enhanced error messages for parameter casting in the tool's `Invoke`
method to clarify issues with input parameters.
### Neo4j driver configuration
* Set a custom user agent (`genai-toolbox/neo4j-source`) for Neo4j
driver connections to help identify requests from this tool.
[[1]](diffhunk://#diff-3f0444add0913f1722d678118ffedc70039cca3603f31c9927c06be5e00ffb29R24-R29)
[[2]](diffhunk://#diff-3f0444add0913f1722d678118ffedc70039cca3603f31c9927c06be5e00ffb29L109-R113)
### Documentation updates
* Updated the documentation to describe the new `dry_run` parameter and
its usage for query validation.
---------
Co-authored-by: Yuan Teoh <45984206+Yuan325@users.noreply.github.com>
## Description
- **looker-dev-mode:** Turn dev mode on or off for the session.
- **looker-get-projects:** Retrieve the list of LookML projects on the
server.
- **looker-get-project-files:** Retrieve the list of LookML project
files in a project.
- **looker-get-project-file:** Get the contents of a LookML project
file.
- **looker-create-project-file:** Create a new LookML project file.
- **looker-update-project-file:** Modify a LookML project file.
- **looker-delete-project-file:** Delete a LookML project file.
## 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/genai-toolbox/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 https://github.com/googleapis/genai-toolbox/issues/488
---------
Co-authored-by: duwenxin <duwenxin@google.com>
Co-authored-by: Wenxin Du <117315983+duwenxin99@users.noreply.github.com>
This introduces a breaking change. The bigquery-get-table-info tool will
now enforce the allowed datasets setting from its BigQuery source
configuration. Previously, this setting had no effect on the tool.
Part of https://github.com/googleapis/genai-toolbox/issues/873
---------
Co-authored-by: Nikunj Badjatya <nikunj.badjatya@harness.io>
Summary
Adds an optional write_mode configuration to the BigQuery source,
enhancing security by controlling the types of SQL statements that can
be executed to prevent unauthorized data modification.
Key Changes
Added writeMode Configuration: A new write_mode field is added to the
BigQuery source, supporting three modes:
allowed (Default): Permits all SQL statements.
blocked: Allows only SELECT queries.
protected: Enables session-based execution, restricting write operations
(like CREATE TABLE) to the session's temporary dataset, thus protecting
permanent datasets. Note: at the moment, this won't work with
useClientOAuth, will fix this in the future.
These restrictions primarily apply to the bigquery-execute-sql tool and
the session may be used in other tools.
## Description
---
The timeout on the server was one minute, but the tests were sometimes
running longer. Made timeout 5 minutes.
> 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:
- [x] Make sure you reviewed
[CONTRIBUTING.md](https://github.com/googleapis/genai-toolbox/blob/main/CONTRIBUTING.md)
- [x] Make sure to open an issue as a
[bug/issue](https://github.com/googleapis/genai-toolbox/issues/new/choose)
before writing your code! That way we can discuss the change, evaluate
designs, and agree on the general idea
- [x] Ensure the tests and linter pass
- [x] Code coverage does not decrease (if any source code was changed)
- [x] Appropriate docs were updated (if necessary)
- [x] Make sure to add `!` if this involve a breaking change
🛠️Fixes#1635
## Description
This introduces a breaking change. The bigquery-list-dataset-ids tool
will now enforce the allowed datasets setting from its BigQuery source
configuration. Previously, this setting had no effect on the tool.
The tool's behavior regarding this parameter is influenced by the
`allowedDatasets` restriction on the `bigquery` source:
- **Without `allowedDatasets` restriction:** The tool can list datasets
from any project specified by the `project` parameter.
- **With `allowedDatasets` restriction:** The tool directly returns the
pre-configured list of dataset IDs from the source, and the `project`
parameter is ignored.
---
> 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/genai-toolbox/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
🛠️ Part of https://github.com/googleapis/genai-toolbox/issues/873
---------
Co-authored-by: Yuan Teoh <45984206+Yuan325@users.noreply.github.com>
## Description
This enables the Conversational Analytics API for Looker. The prebuilt
config is separate since it is not a good
idea to use the Looker prebuilt config with CA. Agents get confused as
to whether they should query the data directly
or use the CA tool.
This pull request adds 3 new tools, looker-health-pulse,
looker-health-vacuum, and looker-health-analyze, as capabilities to the
Looker MCP Toolbox. These tools are designed to provide health checks
and auditing analytical insights for a Looker instance (they come from
the popular [Looker CLI tool
Henry](https://github.com/looker-open-source/henry)).
**looker-health-pulse**
This tool performs various health checks on a Looker instance. It can be
used to:
- Check database connection status.
- Identify dashboards with slow-running or erroring queries.
- List slow explores and failed schedules.
- Find enabled legacy features.
**looker-health-analyze**
This tool performs analytical tasks on Looker projects, models, and
explores. It can be used to:
- Analyze projects to check Git status and validation.
- Analyze models to count explores and identify unused ones.
- Analyze explores to find unused joins and fields. *Unused is defined
as not being queried in the last 90 days.*
**looker-health-vacuum**
This tool finds unnused explores, joins, and fields based on user
defined search conditions (namely, timeframe and min query #):
- Identify unnused explores for specific or all models
- Identify unnused fields or joins for specific explores or all explores
within a model
This update targets Looker administrators, as it provides new
capabilities to monitor the health and efficiency of their Looker
instances and connect those capabilities to MCP Clients.
🛠️Fixes#1415
---------
Co-authored-by: Luka Fontanilla <maluka@google.com>
## Description
This change introduces a new tool for compiling local Dataform projects.
The new tool, `dataform-compile`, allows users to programmatically run
the `dataform compile` command against a project on the local
filesystem. This tool does not require a `source` and instead relies on
the `dataform` CLI being available in the server's `PATH`.
### Changes:
* Added the new tool definition in
`internal/tools/dataformcompile/dataformcompile.go`.
* The tool requires the following parameter:
* `project_dir`: The local Dataform project directory to compile.
* The tool uses `os/exec` to run the `dataform compile --json` command
and parses the resulting JSON output.
* Added a new integration test in
`internal/tools/dataformcompile/dataformcompile_test.go` which:
* Skips the test if the `dataform` CLI is not found in the `PATH`.
* Uses `dataform init` to create a temporary, minimal project for
testing.
* Verifies success, missing parameter errors, and errors from a
non-existent directory.
---
> 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:
- [x] Make sure you reviewed
[CONTRIBUTING.md](https://github.com/googleapis/genai-toolbox/blob/main/CONTRIBUTING.md)
- [x] Make sure to open an issue as a
[bug/issue](https://github.com/googleapis/genai-toolbox/issues/new/choose)
before writing your code! That way we can discuss the change, evaluate
designs, and agree on the general idea
- [x] Ensure the tests and linter pass
- [x] Code coverage does not decrease (if any source code was changed)
- [x] Appropriate docs were updated (if necessary)
- [x] Make sure to add `!` if this involve a breaking change
🛠️Fixes#1469
---------
Co-authored-by: Yuan Teoh <45984206+Yuan325@users.noreply.github.com>
## Description
---
This change updates the list tables(`postgres`, `mysql` and `mssql`)
tests with test cases for listing all tables. The test schemas are
cleaned at the beginning of the test run to ensure deterministic output
for the list_tables tool.
## 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:
- [x] 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/genai-toolbox/issues/new/choose)
before writing your code! That way we can discuss the change, evaluate
designs, and agree on the general idea
- [x] Ensure the tests and linter pass
- [x] Code coverage does not decrease (if any source code was changed)
- [x] Appropriate docs were updated (if necessary)
- [x] Make sure to add `!` if this involve a breaking change
🛠️ Fixes #<issue_number_goes_here>
## Description
---
This change adds helper functions to cleanup the test databases
(PostgreSQL, MySQL, and MSSQL) by dropping any orphan tables from
previous test runs. These functions can be called at the beginning of
each test run.
## 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:
- [x] Make sure you reviewed
[CONTRIBUTING.md](https://github.com/googleapis/genai-toolbox/blob/main/CONTRIBUTING.md)
- [x] Make sure to open an issue as a
[bug/issue](https://github.com/googleapis/genai-toolbox/issues/new/choose)
before writing your code! That way we can discuss the change, evaluate
designs, and agree on the general idea
- [x] Ensure the tests and linter pass
- [x] Code coverage does not decrease (if any source code was changed)
- [x] Appropriate docs were updated (if necessary)
- [x] Make sure to add `!` if this involve a breaking change
🛠️Fixes#1304
---------
Co-authored-by: Wenxin Du <117315983+duwenxin99@users.noreply.github.com>
Add `_meta` for `tools/list` method in MCP Toolbox.
If there are authorized invocation, the following will be return in
`_meta`:
```
{
"name":"my-tool-name",
"description":"my tool description",
"inputSchema":{
"type":"object",
"properties":{
"user_id":{"type":"string","description":"user's name from google login"}
},
"required":["user_id"]
},
"_meta":{
"toolbox/authParam":{"user_id":["my_auth"]}
}
}
```
If there are authenticated parameter, the following will be return in
`_meta`:
```
{
"name":"my-tool-name",
"description":"my tool description",
"inputSchema":{
"type":"object",
"properties":{
"sql":{"type":"string","description":"The sql to execute."}
},
"required":["sql"]
},
"_meta":{
"toolbox/authInvoke":["my_auth"]
}
}
```
If there are no authorized invocation or authenticated prameter, the
`_meta` field will be omitted.
With this feature, the following were updated in the source code:
* In each `func(p CommonParameter) McpManifest()`, we will return a
`[]string` for the list of authenticated parameters. This is similar to
how Manifest() return the list of authNames in non-MCP Toolbox's
manifest.
* The `func(ps Parameters) McpManifest()` will return a
`map[string][]string` that with key as param's name, and value as the
param's auth.
* Added a new function `GetMcpManifest()` in `tools.go`. This function
will consctruct the McpManifest, and add the `Metadata` field.
* Associated tests were added or updated.
## Description
---
Add mssql's prebuilt tools tests to cloud-sql-mssql integration tests.
Cloud sql mssql's integration test coverage check against the mssql
package since those tools are compatible. Hence, when we add new tools
to mssql, we will have to add those integration tests against cloud sql
mssql as well.
## Description
This introduces a breaking change. The bigquery-execute-sql tool will
now enforce the allowed datasets setting from its BigQuery source
configuration. Previously, this setting had no effect on the tool.
---
> 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/genai-toolbox/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 https://github.com/googleapis/genai-toolbox/issues/873
---------
Co-authored-by: Yuan Teoh <45984206+Yuan325@users.noreply.github.com>
## Description
---
### What
Fixed a bug where `FilterParams` was being concatenated twice in the
parameter list for MongoDB update operations.
### Why
The duplicate concatenation would cause parameter validation to fail
during tool initialization, preventing the MongoDB update tools from
working.
### Changes
- `mongodbupdateone.go`: Fixed `slices.Concat()` to properly combine
FilterParams and UpdateParams
- `mongodbupdatemany.go`: Fixed `slices.Concat()` to properly combine
FilterParams and UpdateParams
## 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:
- [x] Make sure you reviewed
[CONTRIBUTING.md](https://github.com/googleapis/genai-toolbox/blob/main/CONTRIBUTING.md)
- [x] Make sure to open an issue as a
[bug/issue](https://github.com/googleapis/genai-toolbox/issues/new/choose)
before writing your code! That way we can discuss the change, evaluate
designs, and agree on the general idea
- [x] Ensure the tests and linter pass
- [x] Code coverage does not decrease (if any source code was changed)
- [x] Appropriate docs were updated (if necessary)
- [x] Make sure to add `!` if this involve a breaking change
## Description
---
This introduces a breaking change. The bigquery-forecast tool will now
enforce the allowed datasets setting from its BigQuery source
configuration. Previously, this setting had no effect on the tool.
## 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/genai-toolbox/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>
---------
Co-authored-by: Yuan Teoh <45984206+Yuan325@users.noreply.github.com>
[Cassandra](https://cassandra.apache.org/_/cassandra-basics.html) is a
NoSQL distributed database. By design, NoSQL databases are lightweight,
open-source, non-relational, and largely distributed. Counted among
their strengths are horizontal scalability, distributed architectures,
and a flexible approach to schema definition.
Cassandra go driver link -
https://pkg.go.dev/github.com/apache/cassandra-gocql-driver/v2
This PR
- adds a new source for cassandra
- adds a new tool _cassandra-cql_ with support for executing predefined
parameterized CQL queries on cassandra
- adds unit and integration tests for the tool and the source
- adds documentation for the cassandra source and cassandra-cql tool
---------
Co-authored-by: Wenxin Du <117315983+duwenxin99@users.noreply.github.com>
Co-authored-by: duwenxin <duwenxin@google.com>
## Description
Follows up https://github.com/googleapis/genai-toolbox/pull/1274/ with a
list tables tool for ClickHouse
## 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:
- [x] 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/genai-toolbox/issues/new/choose)
before writing your code! That way we can discuss the change, evaluate
designs, and agree on the general idea
- [x] Ensure the tests and linter pass
- [x] Code coverage does not decrease (if any source code was changed)
- [x] Appropriate docs were updated (if necessary)
- [ ] Make sure to add `!` if this involve a breaking change
🛠️ Fixes #<issue_number_goes_here>
---------
Co-authored-by: Pete Hampton <pjhampton@users.noreply.github.com>
Co-authored-by: Averi Kitsch <akitsch@google.com>
## Description
---
A `mysql-list-tables-missing-index` tool searches tables that do not
have primary or unique indices in a MySQL database. It's compatible
with:
- cloud-sql-mysql
- mysql
`mysql-list-tables-missing-index` outputs table names, including
`table_schema` and `table_name` in JSON format. It takes 2 optional
input parameters:
- `table_schema` (optional): Only check tables in this specific
schema/database. Search all visible tables in all visible databases if
not specified.
- `limit` (optional): max number of queries to return, default `50`.
## Example
```yaml
tools:
list_tables_missing_index:
kind: mysql-list-tables-missing-index
source: my-mysql-instance
description: Find tables that do not have primary or unique key constraint. A primary key or unique key is the only mechanism that guaranttes a row is unique. Without them, the database-level protection against data integrity issues will be missing.
```
The response is a json array with the following fields:
```json
{
"table_schema": "the schema/database this table belongs to",
"table_name": "name of the table",
}
```
## Reference
| **field** | **type** | **required** | **description** |
|-------------|:------------------------------------------:|:------------:|--------------------------------------------------------------------------------------------------|
| kind | string | true | Must be "mysql-list-active-queries". |
| 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. |
## 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:
- [x] Make sure you reviewed
[CONTRIBUTING.md](https://github.com/googleapis/genai-toolbox/blob/main/CONTRIBUTING.md)
- [x] Make sure to open an issue as a
[bug/issue](https://github.com/googleapis/genai-toolbox/issues/new/choose)
before writing your code! That way we can discuss the change, evaluate
designs, and agree on the general idea
- [x] Ensure the tests and linter pass
- [x] Code coverage does not decrease (if any source code was changed)
- [x] Appropriate docs were updated (if necessary)
- [x] Make sure to add `!` if this involve a breaking change
---------
Co-authored-by: Averi Kitsch <akitsch@google.com>
## Description
A `mysql-list-table-fragmentation` tool checks table fragmentation of
MySQL tables by calculating the size of the data and index files in
bytes and comparing with free space allocated to each table. This tool
calculates `fragmentation_percentage` which represents the proportion of
free space relative to the total data and index size. It's compatible
with
- cloud-sql-mysql
- mysql
`mysql-list-table-fragmentation` outputs detailed information as JSON ,
ordered by the fragmentation percentage in descending order.
This tool takes 4 optional input parameters:
- `table_schema` (optional): The database where fragmentation check is
to be executed. Check all tables visible to the current user if not
specified.
- `table_name` (optional): Name of the table to be checked. Check all
tables visible to the current user if not specified.
- `data_free_threshold_bytes` (optional): Only show tables with at least
this much free space in bytes. Default 1.
- `limit` (optional): Max rows to return, default 10.
## Example
```yaml
tools:
list_table_fragmentation:
kind: mysql-list-table-fragmentation
source: my-mysql-instance
description: List table fragmentation in MySQL, by calculating the size of the data and index files and free space allocated to each table. The query calculates fragmentation percentage which represents the proportion of free space relative to the total data and index size. Storage can be reclaimed for tables with high fragmentation using OPTIMIZE TABLE.
```
The response is a json array with the following fields:
```json
{
"table_schema": "The schema/database this table belongs to",
"table_name": "Name of this table",
"data_size": "Size of the table data in bytes",
"index_size": "Size of the table's indexes in bytes",
"data_free": "Free space (bytes) available in the table's data file",
"fragmentation_percentage": "How much fragementation this table has",
}
```
## 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:
- [x] Make sure you reviewed
[CONTRIBUTING.md](https://github.com/googleapis/genai-toolbox/blob/main/CONTRIBUTING.md)
- [x] Make sure to open an issue as a
[bug/issue](https://github.com/googleapis/genai-toolbox/issues/new/choose)
before writing your code! That way we can discuss the change, evaluate
designs, and agree on the general idea
- [x] Ensure the tests and linter pass
- [x] Code coverage does not decrease (if any source code was changed)
- [x] Appropriate docs were updated (if necessary)
- [x] Make sure to add `!` if this involve a breaking change
---------
Co-authored-by: Yuan Teoh <45984206+Yuan325@users.noreply.github.com>
Co-authored-by: Averi Kitsch <akitsch@google.com>
## Description
---
Add support to allowed datasets for conversational-analytics tool in
bigquery.
## 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/genai-toolbox/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>
