Both tools have critical definition gaps. Tool names lack action verbs (add is acceptable, but search_documentation is vague). Parameter descriptions are entirely missing (null values in schema). Tool descriptions are present but minimal (10-60 chars, below the 50-200 char LLM-optimized baseline). No output schemas documented. The add tool is trivial; search_documentation makes an external HTTP call without error handling, timeout management, or recovery guidance. No input validation, no pagination support, no structured output specification.

• Add non-empty descriptions to all parameters. E.g., for 'a' and 'b': 'Integer operand (any value)'. For 'question_about_capability': 'Natural language question about document capabilities (max 500 chars)'.
• Expand tool descriptions to 50-200 chars. E.g., search_documentation: 'Search the documentation knowledge base for answers about document handling, storage, and capabilities. Returns matching sections and confidence scores.'
• Document output schemas explicitly. E.g., add returns int; search_documentation returns {results: [{title: str, snippet: str, confidence: float}], total_matches: int}.
• Add timeout (5-10s), retry logic, and error recovery to search_documentation. Return actionable errors: 'Backend unavailable. Try again in 30s.' or 'No results found. Try rephrasing the question.'
• Add input validation: validate question_about_capability is non-empty and under 500 chars; return 'Question too long (max 500 chars)' if violated.