Holusight provides 6 tools with complete input schemas and descriptions. Naming follows verb_noun convention (search, ask, index, status, health, config). Descriptions are present and adequate (50-150 chars), explaining WHAT each tool does. However, parameter descriptions lack depth, many lack guidance on format, constraints, or when to use them. Output schemas are not documented in the source. Error handling is minimal; no recovery guidance or actionable error messages visible. The 'ask' tool synthesizes LLM responses but lacks documentation of what fields are returned or how to handle synthesis failures. Overall: functional definitions with room for LLM-optimization and error guidance.

• Document output schemas for all tools. For 'search', specify: {results: [{id, score, content, source, file_path}], total_count}. For 'ask', specify: {answer, sources: [{file, chunk_id}], confidence}.
• Add format and example constraints to parameters. E.g., file_glob: 'Glob pattern (e.g., *.pdf, docs/**/*.txt). Omit to search all files.' top_k: 'Number of results (1-50; default 8 for search, 5 for ask). Higher values increase latency.'
• Implement error responses with recovery guidance. E.g., 'Index not found. Call index() first to build the vector database.' 'LLM synthesis timeout. Try reducing top_k or retrying with a shorter question.'
• Clarify 'ask' as a synthesis tool: 'Retrieves relevant chunks and uses Claude/OpenAI to synthesize a natural-language answer. Returns answer text and source citations.'
• Add confirmation or dry-run for 'index' with force_rebuild=true. E.g., add a 'confirm' parameter or return a preview of what will be deleted before committing.