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audit_graphql

Read-onlyIdempotent

Audit GraphQL APIs to detect introspection exposure, missing depth/complexity limits, N+1 query patterns, field-level authorization gaps, and batching attack vectors.

Instructions

Deep GraphQL security audit — checks for introspection exposure, missing query depth/complexity limits, N+1 query patterns (DataLoader absence), missing field-level authorization, and batching attack vectors. Supports Apollo, Yoga, Mercurius, NestJS, and Pothos.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectPathYesAbsolute path to the project root directory
Behavior4/5

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

Annotations already indicate readOnlyHint=true, idempotentHint=true, and destructiveHint=false. The description adds behavioral context by detailing the specific security checks performed and supported frameworks, enriching transparency beyond the annotations.

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 two sentences, front-loaded with the core purpose, and every word adds value. There is no redundancy or wasted space.

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

Completeness5/5

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

Given the tool's single parameter, no output schema, and clear annotations, the description fully covers the purpose, checks, and supported frameworks. It is complete for an agent to understand and invoke the tool correctly.

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 covers 100% of the single parameter (projectPath) with a clear description. The tool description does not add additional parameter-specific meaning beyond the schema, so baseline 3 is appropriate.

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 a 'deep GraphQL security audit' and lists seven specific checks (introspection exposure, missing query depth/complexity limits, N+1 patterns, missing field-level authorization, batching attacks) and supported frameworks (Apollo, Yoga, etc.), providing a clear and distinct purpose from sibling tools.

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

Usage Guidelines3/5

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

The description clearly states what the tool does but does not explicitly specify when to use it versus alternatives or when not to use it. It implies usage for GraphQL security auditing, but lacks exclusionary guidance.

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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