Single tool with basic structure but significant gaps. Tool name 'search_arxiv' follows verb_noun convention (+). Input schema present with types and defaults (+). However, description lacks actionable detail for LLM selection, parameter descriptions are minimal, output schema is undocumented, and no error handling guidance. Tool description (89 chars) is below the 194-char baseline for production tools. No pagination support despite API returning lists. Missing error recovery patterns.

• Expand tool description to 150-250 chars: explain what papers are returned, when to call it (e.g., 'Use to discover recent research on a topic'), and that results are limited to max_results (default 5). Example: 'Search arXiv for peer-reviewed papers by topic. Returns up to max_results papers with title, authors, summary, and link. Use this to discover recent research before diving into full papers.'
• Document output schema explicitly in docstring: 'Returns: List[Dict] with keys: title (str), authors (List[str]), summary (str), link (str). Limited to max_results items (default 5, max 100).'
• Add pagination: expose 'start' parameter (default 0) and return 'total_count' in response so LLM can iterate through large result sets without context explosion.
• Improve error handling: catch requests.RequestException separately, return structured error with retry guidance. Example: 'arXiv API unavailable (HTTP {status}). Retry in 30s or try a simpler query.' For XML parse errors, return 'Malformed response from arXiv. Try a different topic.'
• Enhance parameter descriptions: 'topic (str): Search query (e.g., "neural networks", "quantum computing"). Supports arXiv query syntax (all:, cat:, etc.). Max 200 chars.' and 'max_results (int): Number of papers to return. Range 1 - 100, default 5. Larger values increase latency.'