CodeSearch MCP has 5 tools with complete schema definitions and basic descriptions, but suffers from significant gaps in parameter documentation, output schema specification, error handling guidance, and missing tool annotations. Naming is adequate but descriptions are generic. The server follows a basic MCP structure but lacks the depth required for production-grade agent tooling. Most parameters lack descriptions, and output schemas are undocumented. Error responses are minimal and provide no recovery guidance.

• Document output schemas for all tools. Define what semantic_search returns (list of chunk objects with id, path, line range, code snippet, similarity score). Define what get_chunk_code returns (map of chunk_id -> code text). Publish as examples or JSON Schema in tool metadata.
• Add comprehensive parameter descriptions. For semantic_search: expand file_types description to list valid values and explain defaults. For find_similar_chunks: document 'id' parameter format (path/to/file.ext::Type or content hash). For get_chunk_code: explain what happens if an ID is invalid or has been invalidated by edits.
• Enhance tool descriptions to 50-200 chars with guidance on when to use each. E.g., semantic_search: 'Search for code by natural language description of what it does. Use when you don't know the exact function name. Returns matches ranked by semantic similarity with line numbers and a snippet preview. For exact matches, use get_chunk_code with the ID directly.'
• Add error handling with recovery paths. Return structured errors: {error_type: 'no_results'|'invalid_id'|'index_not_ready', message: '...', next_steps: ['call get_index_status', 'refine your search query']}. Guide agents on retry logic and alternative strategies.
• Add readOnlyHint to semantic_search, find_similar_chunks, get_chunk_code, get_index_status. Mark index_workspace with destructiveHint=false but add an idempotentHint note about background async behavior and eventual consistency.
• Implement proper pagination. Add optional limit (default 20, max 100) and offset or cursor to semantic_search and find_similar_chunks. Return total_results in response so agents know if they need to paginate further.