Strong tool naming and descriptions across all 7 tools. Each tool has a clear verb-noun pattern (arxiv_search, arxiv_get_paper_details, etc.) and descriptions that explain WHAT the tool does, WHEN to use it, and dependencies on other tools. Input schemas are complete with type definitions and constraints (enums for citation formats). However, output schemas are NOT documented in the tool definitions, the source code does not show what fields are returned, their types, or structure. This is a critical gap per pattern:tool and pattern:response-shaper. Error handling is not visible in the tool definitions, and descriptions lack explicit guidance on recovery paths. Parameter descriptions are strong (average ~80 chars), but the lack of output documentation limits context for downstream reasoning and chaining.

• Document output schemas for all 7 tools in the tool definition. For example, arxiv_search should document: 'Returns object with fields: papers (array of {id, title, authors (array of strings)}) and total_results (number).' This enables LLM planning and downstream tool calls.
• Add explicit error handling and recovery guidance to descriptions. E.g., 'If a paper_id is invalid or not found, returns an error; try arxiv_search() to find the correct paper ID.'
• Cap and document result limits for search tools. Update descriptions: 'Returns up to 50 results. Use max_results parameter to limit. For large result sets, use pagination (offset parameter) or refine the query.'
• Refactor arxiv_download_paper to remove requirement for absolute file paths. Option 1: Add a 'destination_name' parameter (just a filename) and default to a server-configured directory. Option 2: Accept a relative path (e.g., 'papers/my-research/') and validate against a whitelist. This reduces cognitive load on LLMs and eliminates filesystem attack surface.
• Add 'include_chaining_ids' guidance to arxiv_search, arxiv_search_trending_papers, and arxiv_search_related_papers. Ensure they return paper_id fields that downstream tools (get_details, get_summary, etc.) can immediately consume. Document the exact field name (e.g., 'id', 'paper_id', 'arxiv_id') in the output schema.
• Consider adding a 'batch_get_details' or 'batch_get_summaries' tool if agents frequently fetch details for multiple papers in one loop. This would reduce token waste and latency vs. sequential calls.