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This PR introduces a significant update to the Toolbox configuration file format, which is one of the primary **breaking changes** required for the implementation of the Advanced Control Plane. # Summary of Changes The configuration schema has been updated to enforce resource isolation and facilitate atomic, incremental updates. * Resource Isolation: Resource definitions are now separated into individual blocks, using a distinct structure for each resource type (Source, Tool, Toolset, etc.). This improves readability, management, and auditing of configuration files. * Field Name Modification: Internal field names have been modified to align with declarative methodologies. Specifically, the configuration now separates kind (general resource type, e.g., Source) from type (specific implementation, e.g., Postgres). # User Impact Existing tools.yaml configuration files are now in an outdated format. Users must eventually update their files to the new YAML format. # Mitigation & Compatibility Backward compatibility is maintained during this transition to ensure no immediate user action is required for existing files. * Immediate Backward Compatibility: The source code includes a pre-processing layer that automatically detects outdated configuration files (v1 format) and converts them to the new v2 format under the hood. * [COMING SOON] Migration Support: The new toolbox migrate subcommand will be introduced to allow users to automatically convert their old configuration files to the latest format. # Example Example for config file v2: ``` kind: sources name: my-pg-instance type: cloud-sql-postgres project: my-project region: my-region instance: my-instance database: my_db user: my_user password: my_pass --- kind: authServices name: my-google-auth type: google clientId: testing-id --- kind: tools name: example_tool type: postgres-sql source: my-pg-instance description: some description statement: SELECT * FROM SQL_STATEMENT; parameters: - name: country type: string description: some description --- kind: tools name: example_tool_2 type: postgres-sql source: my-pg-instance description: returning the number one statement: SELECT 1; --- kind: toolsets name: example_toolset tools: - example_tool ``` --------- Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Co-authored-by: Averi Kitsch <akitsch@google.com>
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title, type, weight, description, aliases
| title | type | weight | description | aliases | |
|---|---|---|---|---|---|
| bigquery-execute-sql | docs | 1 | A "bigquery-execute-sql" tool executes a SQL statement against BigQuery. |
|
About
A bigquery-execute-sql tool executes a SQL statement against BigQuery.
It's compatible with the following sources:
bigquery-execute-sql accepts the following parameters:
sql(required): The GoogleSQL statement to execute.dry_run(optional): If set totrue, the query is validated but not run, returning information about the execution instead. Defaults tofalse.
The behavior of this tool is influenced by the writeMode setting on its
bigquery source:
allowed(default): All SQL statements are permitted.blocked: OnlySELECTstatements are allowed. Any other type of statement (e.g.,INSERT,UPDATE,CREATE) will be rejected.protected: This mode enables session-based execution.SELECTstatements can be used on all tables, while write operations are allowed only for the session's temporary dataset (e.g.,CREATE TEMP TABLE ...). This prevents modifications to permanent datasets while allowing stateful, multi-step operations within a secure session.
The tool's behavior is influenced by the allowedDatasets restriction on the
bigquery source. Similar to writeMode, this setting provides an additional
layer of security by controlling which datasets can be accessed:
- Without
allowedDatasetsrestriction: The tool can execute any valid GoogleSQL query. - With
allowedDatasetsrestriction: Before execution, the tool performs a dry run to analyze the query. It will reject the query if it attempts to access any table outside the alloweddatasetslist. To enforce this restriction, the following operations are also disallowed:- Dataset-level operations (e.g.,
CREATE SCHEMA,ALTER SCHEMA). - Unanalyzable operations where the accessed tables cannot be determined
statically (e.g.,
EXECUTE IMMEDIATE,CREATE PROCEDURE,CALL).
- Dataset-level operations (e.g.,
Note: This tool is intended for developer assistant workflows with human-in-the-loop and shouldn't be used for production agents.
Example
kind: tools
name: execute_sql_tool
type: bigquery-execute-sql
source: my-bigquery-source
description: Use this tool to execute sql statement.
Reference
| field | type | required | description |
|---|---|---|---|
| type | string | true | Must be "bigquery-execute-sql". |
| 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. |