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Analyze PR risk

analyze_pr_risk
Read-onlyIdempotent

Assess pull request quality risk with scores, drivers, impacted categories, historical bugs, coverage gaps, and test recommendations. Prevent regressions before merging.

Instructions

Analyze a pull request for quality risk. Returns overall risk score (0-100), risk drivers, impacted categories, similar historical bugs, coverage gaps, and recommended tests to run. Use before merging to catch regressions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pr_titleYesPull request title.
changed_filesNoList of changed file paths (e.g., ['src/checkout.ts', 'src/payment.ts']).
pr_descriptionNoPull request body, summary, or description of changes.
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, so description does not need to disclose safety. Adds output details (risk score, drivers, etc.) but no further behavioral traits like rate limits or auth needs.

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?

Two sentences: first states purpose, second adds usage and output highlights. No redundancy or fluff.

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

Completeness4/5

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

For a tool with 3 parameters (all well-documented in schema) and no output schema, the description gives a solid overview of the return value and usage context. Could mention prerequisites like repository access, but overall complete enough.

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%, so each parameter is already documented. Description adds no additional parameter meaning beyond what schema provides, but it does describe output structure which is not part of parameter semantics.

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?

Description states 'Analyze a pull request for quality risk' with a specific verb and resource, and distinguishes from siblings like analyze_release_readiness and generate_missing_coverage by focusing on risk analysis.

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?

Explicitly states 'Use before merging to catch regressions,' providing clear context. Does not mention when not to use or specific alternatives, but sibling list offers alternatives.

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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