TrendRadar has 20 tools with moderate naming consistency but significant gaps in schema documentation, parameter descriptions, and output specifications. Tool names follow verb-noun convention reasonably well (get_, search_, analyze_, export_, etc.), and most include descriptions, though many descriptions are generic or insufficient for LLM decision-making. Critical issue: input schemas are inferred from code snippets rather than explicitly registered in visible tool definitions. Parameter type information is present in the search_tools.py excerpt but absent or incomplete for most other tools. Output schemas are not documented. Error handling exists but lacks actionable recovery guidance. This is a typical C-grade community server: functional but not production-ready.

• Make tool registration code visible in source. Include explicit JSON Schema definitions for all parameters with type, description, enum constraints, and min/max bounds. Currently schemas are inferred from code rather than explicitly declared.
• Document output schemas for every tool. Specify the structure, types, and key fields returned. Example: 'Returns {articles: [{id, title, platform, timestamp, url?}], total_count, has_more}'. This enables LLM planning.
• Add enum constraints to parameters accepting predefined values. For platforms, use enum ['zhihu', 'weibo', ...]. For modes, use enum ['daily', 'current']. For formats, use enum ['json', 'csv', 'excel']. This replaces vague text descriptions.
• Enhance error handling documentation. State what errors can occur, whether they're retryable, and what the LLM should do. E.g., 'If no data available, call resolve_date_range() to check what dates have data. If rate limit hit, retry after 60 seconds.'
• Split composite tools. Break 'search_news_unified' into 'search_news_by_keyword', 'search_news_fuzzy', 'search_news_by_entity'. This clarifies intent and reduces parameter count per tool.
• Add dry-run support to destructive tools. 'export_data' and 'sync_to_s3' should accept a 'dry_run: bool' parameter to preview changes before committing.
• Document pagination clearly. Specify that limit caps results, mention total_count in response, and provide next_cursor or offset for continued queries. Cap defaults to 50 and document max limits (e.g., 'max 1000').