AutoMCP provides a single tool (RestApiTool) for making REST API requests. While the tool has a description and some parameter documentation, the implementation has significant gaps in schema completeness, parameter descriptions, and error handling. The tool appears designed to be dynamically generated from OpenAPI specs, but the visible code shows incomplete schema definition with vague parameter descriptions. Parameters like 'path_params', 'query_params', 'header_params', and 'body_params' are documented only as 'object' types with generic descriptions that do not guide LLM usage. No output schema is documented. The tool accepts generic object parameters without type constraints, enums, or validation rules, the very pattern that invites hallucination and invalid input. Error handling is not visible in the provided code. The server appears to be in early development (version 0.1.0) and lacks the rigor expected of production-grade agent tools.

• Replace generic 'object' parameter types with specific parameter objects. For each dynamic API registered, generate concrete parameter schemas with explicit property types, descriptions, and constraints. E.g., if the API endpoint expects GET /users/{userId}/posts?limit=<1-100>, the schema should reflect that explicitly with enums and min/max bounds.
• Add a comprehensive output schema section to the tool description. Document: successful response structure (JSON fields, types, meanings), pagination structure (if applicable), error response format, and status code handling. Example: 'Returns a JSON object with {statusCode, headers, body, elapsed_ms}. On error, returns {statusCode, error_message, retryable}.'
• Enhance parameter descriptions to 50-150 characters with actionable guidance. Example instead of 'Query parameters for the API endpoint': 'URL query parameters (key-value pairs). Common examples: limit (1-100, default 20), offset (page start, 0-indexed), sort (valid values: name, date, relevance). Use only parameters the API endpoint supports.'
• Document which parameters are required, which optional, and what defaults apply. Use required array in JSON Schema. For optional params, state the default behavior (e.g., 'If omitted, defaults to limit=20, sort=relevance').
• Implement strict input validation in execute() method with clear, actionable error messages. Catch invalid keys, wrong types, out-of-range values, and return structured errors like: {error: 'Invalid query parameter', parameter: 'limit', got: 200, constraint: 'must be 1-100', suggestion: 'Try limit=50'}.

Inferred effective spec: <=2025-11-25.

• Relies on Logging (deprecated) - log to stderr or use OpenTelemetry