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BigQuery Validator

by caron14

bq_list_datasets

Retrieve a list of all datasets in a BigQuery project for validation and dry-run analysis. Specify project ID and limit results.

Instructions

List all datasets in the BigQuery project

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idNoGCP project ID (uses default if not provided)
max_resultsNoMaximum number of datasets to return
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided. The description lacks behavioral details such as pagination, rate limits, or error handling. The claim 'List all datasets' is contradicted by the max_results parameter, which limits results.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Single sentence without fluff, but could be more informative about behavior. It is efficient but slightly under-specified.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

No output schema, so description should explain return format. It does not. Lacks context on when to use vs siblings like bq_list_tables. Insufficient for an agent to fully understand the tool's role.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema descriptions cover 100% of parameters with clear meanings. The description adds no extra value beyond the schema, meeting the baseline but not exceeding it.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb 'List' and the resource 'datasets in the BigQuery project', distinguishing it from siblings like bq_list_tables which list tables instead.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool vs alternatives (e.g., bq_list_tables for tables). Missing context on prerequisites or suitable scenarios.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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