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validate_query

Validates GraphQL query syntax and checks entity/field existence against the schema. Get specific error messages and fix suggestions to avoid runtime errors.

Instructions

Check if your GraphQL query is valid before executing it.

Validates your GraphQL query syntax and verifies that all entities and fields exist in the schema. Catches errors early and provides specific suggestions for fixing issues. Always validate before executing to avoid runtime errors.

Args: query: The GraphQL query string to validate

Returns: Validation results with detailed error messages and fix suggestions if issues are found. A valid query means it's safe to execute.

Workflow: get_schema_summary → get_schema_entity → generate_query_template → You are here → execute_graphql

IMPORTANT

Always run this before calling execute_graphql

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
Behavior5/5

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

No annotations provided, but description fully discloses behavior: validates syntax and schema existence, returns detailed error messages and fix suggestions, and states valid query is safe to execute. 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?

Description is well-structured with paragraphs, bullet points, and a workflow. Every sentence adds value without being verbose.

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 simple tool with one param and no output schema, description covers purpose, usage, input format, and output description. Workflow contextualizes it among siblings.

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?

Only one parameter 'query'; description adds 'The GraphQL query string to validate' beyond the schema's type string, clarifying the expected input. Schema coverage 0% but description compensates well.

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 validates GraphQL queries, specifying syntax and schema existence checks. It distinguishes from siblings like execute_graphql and generate_query_template.

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

Usage Guidelines5/5

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

Explicitly says 'Always validate before executing' and provides a workflow showing its place before execute_graphql. Gives context on when to use (before execution) and implies not to use otherwise.

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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