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BigQuery Validator

by caron14

bq_describe_table

Retrieve BigQuery table schema, metadata, and statistics by specifying table and dataset IDs. Avoid query errors with preview of column names, data types, and table details.

Instructions

Get table schema, metadata, and statistics

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
table_idYesThe table ID
dataset_idYesThe dataset ID
project_idNoGCP project ID (uses default if not provided)
format_outputNoWhether to format schema as table string
Behavior3/5

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

With no annotations, the description carries the full burden. It correctly implies a read-only operation ('Get') and lists output categories (schema, metadata, statistics), but does not disclose permissions, latency, or data freshness. Adequate but not detailed.

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

Conciseness5/5

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

The description is a single sentence that front-loads the verb and resource. Every word contributes meaning with zero waste.

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

Completeness3/5

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

For a simple read tool with a well-documented input schema and no output schema, the description gives a high-level summary but lacks specifics on the return format, field details, or how it differs from similar siblings. It meets minimum viability.

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?

All 4 parameters are fully documented in the input schema (100% coverage). The description adds no extra parameter semantics beyond the schema descriptions, so baseline 3 applies.

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

Purpose4/5

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

The description clearly states the verb 'Get' and the resource 'table schema, metadata, and statistics'. However, it does not differentiate from sibling tool 'bq_get_table_info', which likely has overlapping functionality.

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?

The description provides no guidance on when to use this tool versus alternatives like 'bq_get_table_info' or 'bq_list_tables'. It lacks when-not-to-use or context for selection.

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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