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GraphQL MCP Server

describe_field

Read-onlyIdempotent

Retrieve complete details of any GraphQL field, including description, return type, arguments with defaults, and deprecation status.

Instructions

Get full details of a single field on any type: description, return type, arguments (each with name, type, description, default value), and deprecation info. Pass type_name='Query' or 'Mutation' to look up root operations, or pass any object type name to look up one of its fields.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
type_nameYesName of the parent type (e.g. 'Query', 'Mutation', 'User')
field_nameYesName of the field to describe
Behavior4/5

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

Annotations already indicate readOnlyHint=true and idempotentHint=true. The description adds that the tool returns specific details like arguments and deprecation info, providing transparency beyond the 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?

The description is concise with only two sentences. The first sentence lists what the tool returns, and the second provides usage examples. No wasted words, and the most important information is front-loaded.

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?

Despite no output schema, the description explains the output content (description, return type, arguments, deprecation info). It covers both parameters and their usage. While it lacks details on errors or rate limits, it is sufficient for a simple read 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%, so parameters are already documented. The description adds value by specifying valid values for type_name (e.g., 'Query', 'Mutation', or any object type), which goes beyond the schema's generic description.

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 clearly states the tool returns full details of a single field on any type, including description, return type, arguments, and deprecation info. It distinguishes from siblings like 'describe_type' by specifying it is for fields, not entire types.

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 provides explicit context on when to use the tool: pass 'Query' or 'Mutation' for root operations, or any object type name for its fields. It does not mention when not to use or alternatives, but the given context is clear.

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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