This server provides 7 tools with basic definitions. Most tools have descriptions and input schemas present, but they fall short of production quality in several critical areas: (1) Parameter descriptions are minimal or missing detail about formats, constraints, and valid values. (2) Output schemas are not documented, LLMs cannot plan downstream calls without knowing what fields are returned. (3) Error handling guidance is absent. (4) The LLM-backed tools (chat, analyze, summarize, explain) lack crucial details about behavior, constraints, and potential failures. The naming is reasonable (mostly verb_noun patterns), but the overall documentation quality sits in the 'fair' range, typical of a community MCP server rather than production-grade tooling.

• Document output schemas for every tool. Include a 'Returns' section in each tool description specifying: field names, types (string, object, array), and what each field contains. Example: 'Returns: { result: string, timestamp: string (ISO 8601) }'.
• Convert free-form parameter descriptions to JSON Schema enums for discrete choices. For analyze, define: 'analysis_type': { 'enum': ['sentiment', 'themes'] }. For summarize: 'length': { 'enum': ['brief', 'medium', 'detailed'] }. For explain: 'level': { 'enum': ['beginner', 'intermediate', 'advanced'] }.
• Add error handling guidance to all tool descriptions. Example for chat: 'If the API rate limit is exceeded, the call will fail with error 429. Retry after 60 seconds. If the model times out, consider using a simpler prompt or shorter message.'
• Expand LLM tool descriptions to differentiate them. Instead of 'Chat tool powered by LLM', say: 'Send a message to Claude for open-ended conversation. Use for questions, brainstorming, and general reasoning. Not suitable for structured analysis, use analyze() instead.' Similarly, make summarize and explain purpose-specific.
• Document idempotency and retry safety. Add to echo, chat, analyze, summarize, explain: 'Note: This tool is NOT idempotent, repeated calls may produce different results (especially with temperature > 0). Retry only on transient errors (timeout, rate limit), not on content generation disagreements.'
• Specify parameter constraints inline. For temperature: 'temperature (number, 0 - 2, default 1): Controls randomness. 0 = deterministic, 2 = very random. Typical: 0.7.'

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

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