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letoribo

mcp-graphql-enhanced

query-graphql

Execute GraphQL queries and mutations against a federated system, with support for variables and custom headers.

Instructions

Execute GraphQL operations (queries and mutations) against the federated system. WARNING: This tool performs remote operations. 'Mutation' operations will modify persistent state; execute these only when a state change is intended. Prerequisites: Verify schema structure using 'introspect-schema' before executing complex queries. Security: Inherits environment-based authentication. Returns: A JSON object containing the execution result ('data') or a list of 'errors' in case of failure.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesThe GraphQL query or mutation string. Example: 'query { guilds { id name } }'.
headersNoJSON stringified object of extra HTTP headers for the request.
variablesNoJSON stringified object of variables. Example: '{"id": "123"}'.
Behavior4/5

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

Since no annotations are provided, the description carries full burden. It discloses remote operation, mutation side effects, return format (data/errors), and authentication inheritance. Does not cover idempotency or rate limits, but key behavioral traits are addressed.

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?

Very concise with no wasted words. Structure is logical: purpose, warning, prerequisites, security, returns. Every sentence serves a clear purpose.

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?

Despite no output schema, description adequately explains return type (JSON with data/errors). Prerequisites and security are covered. Completeness is high for a 3-parameter tool.

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

Parameters4/5

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

Schema coverage is 100%, but description adds context beyond schema: warning about remote operations, examples for query and variables, and return format. This enhances understanding of how to correctly use the parameters.

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 clearly states it executes GraphQL operations against a federated system, and distinguishes from the sibling tool 'introspect-schema' by referencing prerequisite steps.

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?

Provides explicit warning about mutations modifying state and when to use them, plus prerequisite to verify schema. Could be improved by explicitly contrasting with 'introspect-schema' for schema inspection vs this for execution.

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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