Server provides 4 tools with basic schemas and descriptions, but significant gaps limit production readiness. Tool naming is adequate (verb_noun pattern), but descriptions are generic and lack LLM-optimization guidance. Parameter descriptions are sparse or missing entirely. No output schemas documented. Error handling is absent, tools provide no recovery guidance. Security concerns: execute_api_request accepts arbitrary headers and body, risking injection attacks. No input validation, rate limiting, or permission gates visible.

• Document output schemas for all tools. E.g., list_available_endpoints should return {endpoints: [{method: string, path: string, description: string}], total: number}. This enables LLM planning.
• Add parameter descriptions with format/constraint guidance. E.g., 'query_params: object with URL-safe keys and string/number values. Do not include reserved params like api_key.' Describe body as 'JSON object matching the endpoint's request schema.'
• Expand tool descriptions to 150-250 chars. Explain WHEN to call each tool: 'Call list_available_endpoints first to discover available operations. Then call get_endpoint_info to see parameter requirements before executing.'
• Implement input validation and sanitization in execute_api_request. Reject headers containing 'Authorization' (use server-side auth injection). Validate body is valid JSON. Return actionable errors: 'Invalid header X-Custom: contains forbidden characters. Use alphanumeric and hyphens only.'
• Add error classification and recovery guidance. E.g., 'If endpoint returns 404, call list_available_endpoints to verify the path exists. If 401, check API_ACCESS_TOKEN is configured.'

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

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