Two tools with basic schemas and descriptions present, but significant gaps in LLM-optimized documentation, parameter descriptions, and output schema documentation. Tool names follow verb_noun convention (positive). However, descriptions are generic and lack actionable context. Parameters mostly lack descriptions. No output schema documented. Error handling is minimal. reindex_vault has an incomplete implementation (TODO comment). This server would struggle in production agent scenarios due to under-specified interfaces.

• Complete reindex_vault implementation: call the underlying index rebuild and return structured result {"success": true, "indexed_count": N, "duration_ms": N}
• Convert all tool responses from plain text to structured JSON: search_vault should return {"results": [{"file_path": ".../note.md", "score": 0.92, "line_numbers": [5, 12], "snippet": "...context..."}], "total_count": M}
• Document output schemas in tool definitions; update tool descriptions to state what fields are returned and what they represent
• Add min/max constraints for numeric parameters (limit: 1 - 100) and document defaults in parameter descriptions
• Expand tool descriptions to 100 - 200 chars; include WHEN to use, WHAT is returned, and any prerequisites (e.g., 'Vault must be indexed before searching')
• Implement input validation: reject empty queries, queries >256 chars, limits >100; return actionable errors explaining what went wrong and how to fix it
• Add error classification: distinguish retryable errors (index not ready, temporary failure) from user-fixable errors (invalid query syntax) from fatal errors (vault path not found). Return recovery guidance for each.
• Implement rate limiting (10 searches/10s, 1 reindex/60s) to prevent runaway agents from overwhelming the index
• Add idempotency guidance: document whether search_vault is read-only and safe to retry; clarify whether reindex_vault is idempotent (calling twice in a row should not cause issues)
• Create a resource (e.g., 'vault_info' or 'index_status') that returns: {"status": "ready", "indexed_files": N, "last_updated": "2024-01-15T10:30:00Z", "file_count": M}. Agents can call this to check if the index is fresh before searching.