Critical gaps across all dimensions. Tool definitions exist only in package.json with minimal metadata; actual implementation in mcp_server.py is truncated and unverifiable. No input schemas visible for any tool, only 6 of 19 tools show parameter descriptions in package.json. Descriptions are generic (10-50 chars), lack WHEN/WHY context, and do not guide LLM selection. No output schemas documented. Error handling code not visible. Tools lack verb-noun clarity (e.g., 'connect_vault', 'gather_vault' are vague). No evidence of parameter validation, type constraints, or recovery guidance.

• Add complete input schemas to ALL 19 tools in package.json. Each schema must include type, description, and constraints (enum, min/max, pattern) for every parameter. Example: {"note_path": {"type": "string", "description": "Path to the note file (e.g., 'folder/note.md')", "minLength": 1}}
• Expand descriptions to 50-200 characters. Include WHEN to use, WHAT it returns, and any prerequisites. Example: 'Get all links in the vault. Call this first to understand the graph structure before analyzing specific notes. Returns a list of source→target link pairs.'
• Rename vague tools: 'connect_vault' → 'build_vault_graph', 'gather_vault' → 'fetch_vault_plaintext'. Use verb_noun pattern consistently.
• Document output schemas for all tools. Specify returned fields, types, and pagination (limit, offset, total_count). Example: {"notes": [{"path": "string", "title": "string", "tags": ["string"]}], "total": "integer"}
• Add error handling guidance. For each tool, document what can fail (file not found, invalid path, permission denied) and what the LLM should do next. Example: 'If note_path is invalid, call search_notes() to find the correct path.'

Inferred effective spec: <=2025-11-25.

• Relies on Logging (deprecated) - log to stderr or use OpenTelemetry