The server implements a single search tool with reasonable parameter constraints and output structure. The tool name 'search' is verb-based but generic; a more specific 'search_duckduckgo' would better distinguish this tool from other search implementations. The tool description is adequate (119 chars) and explains the use case ('Use when higher-quality websearch tools are unavailable'). Input schema is present with proper types (string, integer) and reasonable bounds (max_results 1-15, default 5). Output schema is documented with structured result objects. However, there are moderate gaps: parameter descriptions could be more explicit about constraints and use cases, error handling lacks recovery guidance for LLMs, and the response does not include metadata fields (like result rank or relevance score) that downstream tools or agents might need. The tool is well-formed but pedestrian, it lacks the polish and detail expected of A-grade production tools.

• Rename tool from 'search' to 'search_duckduckgo' to disambiguate from other search implementations and follow verb_noun convention.
• Expand tool description to include: (a) when to prefer this tool vs. paid/higher-quality alternatives, (b) DuckDuckGo's rate limits and bot-detection behavior, (c) cache TTL and staleness warning.
• Enhance error messages with recovery guidance: for 'Bot detected' errors, suggest exponential backoff or alternative search provider; for 'No Results', suggest query simplification or term variation.
• Add result rank/position field to output schema (e.g., 'position': 1, 2, 3...) to support agent ranking, deduplication, or relevance filtering.
• Document cache behavior explicitly in the tool description or add a 'cache_bust' boolean parameter (defaulting to false) so agents can force fresh results when needed.
• Add explicit documentation that query parameter accepts free-form text strings and supports DuckDuckGo operators (e.g., 'site:', 'filetype:') if applicable, or restrict to simple queries and note the limitation.