Server has 4 tools with complete input schemas and descriptions. Naming follows verb_noun convention (search, extract_url, research, mysearch_health). Descriptions are present but brief (10-50 chars for most). Parameters are well-typed with enums for constrained inputs (mode, intent, strategy, provider). However, parameter descriptions are minimal or missing for many fields (e.g., 'formats' in extract_url lacks detail on expected format types). Output schemas are not documented, LLMs cannot predict response structure. Error handling is absent from tool definitions. No tool annotations (readOnlyHint, destructiveHint) despite all being read-only operations. The research tool combines multiple concerns (web search + scraping + social media) but is justified as a workflow. Overall solid foundation with gaps in documentation completeness and output clarity.

• Document output schemas for all tools. E.g., search returns {results: [{title, url, content?, snippet}], answer?: string, raw_response?: object}. This enables LLMs to extract and chain results.
• Expand parameter descriptions. For 'formats' in extract_url, specify: 'Output formats for extracted content (e.g., markdown, html, plaintext). Defaults to markdown if not specified.'
• Add readOnlyHint: true to all tool definitions via FastMCP annotations to signal safety and enable agent optimizations.
• Include error recovery guidance in tool descriptions. E.g., search: 'If no results found, try broadening the query or changing the mode/strategy. If provider fails, the tool auto-retries with fallback providers.'
• Add per-parameter constraints in descriptions. E.g., max_results: 'Maximum number of results to return (1-20, default 5). Higher values increase latency and token usage.'