Send an introspection query to a GraphQL endpoint to discover its schema, types, and available queries. Map the API surface to identify exposed data and potential vulnerabilities.
Introspect a GraphQL endpoint to discover schema, types, and queries.
Args: url: GraphQL endpoint URL
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes |
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Changes observed during successful MCP inspections.
v1.0.0Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description bears full burden. It implies a read operation but does not disclose if it requires authentication, modifies state, or has rate limits. Lacks behavioral details.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Extremely concise: two sentences plus an args line. No redundant information. Front-loaded with purpose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With one parameter and an output schema, the description is minimally sufficient but lacks usage examples, authentication notes, or expected output details beyond what the output schema provides.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, and the description only adds 'GraphQL endpoint URL' for the url parameter. No information on format, required scheme, or path expectations.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly specifies the action (introspect), the resource (GraphQL endpoint), and the output (discover schema, types, and queries). It distinguishes from siblings like api_graphql_fuzz which focuses on fuzzing.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus alternatives such as api_graphql_fuzz. Does not mention prerequisites, context, or when not to use it.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.