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GraphQL MCP Server

search_schema

Read-onlyIdempotent

Search the entire GraphQL schema for types, fields, and enum values matching a substring. Returns up to 100 hits by default.

Instructions

Search the entire schema for types, fields, input fields, and enum values matching a substring (case-insensitive). Useful for finding things by partial name when the schema is large. Returns up to 100 hits by default.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
termYesSubstring to search for in type and field names (case-insensitive)
limitNoMax number of hits to return (default: 100)
Behavior5/5

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

Annotations declare readOnlyHint and idempotentHint; description adds default limit of 100 hits, which is beyond annotations. No contradictions.

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 concise sentences, front-loaded with action and purpose. No wasted words.

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?

Explains search scope and default limit, but does not specify return format. Given no output schema, a bit more detail on response structure would help.

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

Parameters5/5

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

Schema covers both parameters with descriptions; description adds default limit value and case-insensitive behavior, providing extra context.

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 searches schema for types, fields, input fields, and enum values by substring. Distinguishes from siblings like describe_type and describe_field.

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 usefulness when schema is large and for partial name lookups. Does not explicitly exclude cases, but context implies it's for broad search vs. direct lookup.

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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