Single tool 'qa_endpoint' has a basic description but critically lacks an input schema definition in the source code. The tool accepts a 'question' parameter with a type and description visible in the metadata, but no formal JSON Schema is present in the codebase. The description is adequate (85 chars) but the tool does not follow verb-noun naming (should be 'answer_question' or 'query_codebase'). No output schema is documented. Error handling, parameter validation, and recovery guidance are absent. The tool is read-only but lacks explicit idempotentHint annotation. Overall structure suggests a minimal proof-of-concept rather than production-grade tooling.

• Rename 'qa_endpoint' to 'answer_question' or 'query_codebase' to follow verb_noun naming and clarify intent.
• Define and document a formal JSON Schema for the input, including type='object', properties with 'question' (type: string, description, minLength, maxLength), and required=['question'].
• Document the output schema: specify whether the response is a string, object with fields like 'answer', 'sources', 'confidence', etc. Include field types and descriptions.
• Add error handling: return structured errors with actionable guidance, e.g. 'Question unanswerable with available codebase. Try rephrasing or provide more context.' instead of raw exceptions.
• Add tool annotation 'idempotentHint: true' to the schema to signal that repeated calls with the same input are safe and produce the same result.

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

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