Web Search Tool has clear, action-verb naming conventions (search, browse) and documented schemas with type definitions and basic constraints (enum formats, min/max for num_results). However, tool descriptions are generic (under 100 chars) and lack context on when to use each tool or what to do with results. Parameter descriptions exist but are minimal. Output schemas are not explicitly documented, only inferred from the code. Error handling is absent: no guidance on recovery if a search fails or a URL is unreachable. The server uses STDIO transport (hard cap 50 for protocol readiness). Compositions are reasonable (search and browse are separate concerns), but the tool interface does not provide IDs for chaining downstream operations.

• Expand tool descriptions to 80-150 characters explaining WHAT the tool does, WHEN to use it, and WHAT structure it returns. Example for search: 'Search the web using DuckDuckGo or Brave. Returns title, URL, and snippet for each result. Use before browse() to find relevant pages. Returns up to num_results matches.'
• Document output schemas explicitly in code comments or docstrings. For search, document: returns dict with 'query', 'results' (list of {title, link, snippet, type}), 'count', 'engine'. For browse, document: returns dict with 'title', 'url', 'content' (text or html).
• Add error handling with recovery guidance. If search returns zero results, return: {'error': 'No results for query. Try: (1) broader keywords, (2) different search_engine, (3) browse() if you have a direct URL'}. If browse fails, return specific HTTP status and suggest alternatives.
• Add an explicit enum constraint for search_engine in the parameter description: 'Must be one of: duckduckgo, brave'. Repeat enums in descriptions (not just in schema) so LLMs see them without parsing JSON Schema.
• Document the relationship between search and browse in both descriptions. E.g., search description: 'Returns links suitable for browse() tool. Pass result['link'] to browse().'
• Consider adding pagination to search: add 'offset' parameter (default 0) and return 'next_offset' if more results exist. Current code loads all results into memory, which does not scale.
• Return result IDs or indices from search so agents can reference specific results later without re-parsing. E.g., search returns [{'id': 0, 'title': '...', 'link': '...', ...}].