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caron14

mcp-bigquery-dryrun

by caron14

bq_validate_sql

Validate BigQuery SQL queries for syntax errors without running them. Prevents invalid query execution and saves costs.

Instructions

Validate BigQuery SQL syntax without executing the query

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sqlYesThe SQL query to validate
paramsNoOptional query parameters (key-value pairs)
Behavior2/5

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

No annotations are provided, and the description only states the tool validates without executing. It does not disclose what happens on invalid syntax, auth requirements, or whether it checks table existence, leaving significant behavioral gaps.

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 8-word sentence with no extraneous information, achieving maximum conciseness.

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?

Given the tool's simplicity (2 parameters, no output schema, no annotations), the description is minimally adequate but lacks details about return values or behavior on errors, which would help agents understand the output.

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 description coverage is 100%; both parameters have clear descriptions in the schema. The tool description adds no extra parameter information beyond what the schema already provides.

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 specifies the verb 'validate' and the resource 'BigQuery SQL syntax', and clearly states it does not execute the query, distinguishing it from bq_dry_run_sql which executes a dry run.

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

Usage Guidelines4/5

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

The description implies use for syntax checking only, not execution. It contrasts with 'without executing', but does not explicitly name when not to use or mention bq_dry_run_sql as an alternative.

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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