7 tools with complete schemas and descriptions, but quality is uneven. All tools have basic descriptions (50-150 chars) and proper JSON Schema with required fields and defaults. However, descriptions lack LLM-optimized guidance on WHEN to use each tool vs alternatives. Parameter descriptions are minimal (e.g., 'The search query' for web_search.query). No error handling guidance, no recovery paths, and no mention of API key requirements in tool descriptions (google_search, weather, news require keys but don't state this upfront). Tool names are action-verb based (web_search, http_fetch) which is good. Missing: output schema documentation, pagination guidance for list-returning tools, and actionable error messages.

• Add API key requirement statements to google_search, weather, and news descriptions: 'Requires GOOGLE_SEARCH_API_KEY environment variable' (similar for others).
• Expand parameter descriptions with format/constraint guidance. E.g., web_search.query: 'Natural language search terms (e.g., "python machine learning tutorial"). Supports boolean operators (AND, OR, NOT).'
• Document output schemas in tool descriptions. E.g., 'Returns array of {title: string, snippet: string, url: string, position: int}' for web_search.
• Add error handling guidance: 'If rate limited, wait 60 seconds before retrying. If API key invalid, check GOOGLE_SEARCH_API_KEY environment variable.'
• For datetime, specify default format (ISO 8601) and list supported timezone names (IANA format) to prevent agent confusion.

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

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