Single tool 'web_search' has a basic schema with one required parameter (query: string), but lacks critical depth. Description is minimal (67 chars) and does not explain WHEN to use it, WHAT it returns, or dependencies. No parameter description provided for 'query'. No output schema documented, LLMs cannot plan downstream calls or extract structured data. No error handling guidance. Tool naming is acceptable (verb_noun form), but overall definition falls well below production baseline (194 chars avg description, 100% of A+ tools have param descriptions).

• Expand tool description to 100 - 200 chars: 'Search the web using Brave and Yahoo concurrently. Returns up to 20 results per engine with title, URL, snippet, and source. Use when user asks for current information, news, or web facts. Supports natural language queries.'
• Add parameter description for 'query': 'Search query string (1 - 500 chars). Supports natural language, quoted phrases, and boolean operators (AND, OR, NOT). Examples: "machine learning", python AND tutorial.'
• Document output schema in tool description: 'Returns array of {title, url, snippet, engine} objects. Total results capped at 40 (20 per engine). Sorted by relevance.'
• Add error handling guidance: 'If search fails, try a simpler query (fewer words, no special chars). If both engines timeout, suggest user try again in 30 seconds.'
• Implement pagination: add optional 'limit' (1 - 50, default 20) and 'offset' (default 0) parameters. Return total_results count so LLM knows if more pages exist.