Critical failures across all dimensions. The mcp.json file contains ONLY tool names and brief descriptions, no input schemas, parameter definitions, or output schemas are visible. All 33 tools lack type information, constraints, and parameter documentation. Descriptions are generic (10-50 chars) and do not explain WHEN to use each tool, what parameters it accepts, or what it returns. No error handling guidance. No security considerations documented. The server appears to be a stub definition without actual implementation details visible in the provided source.

• Add full JSON Schema to each tool in mcp.json. For knowledge_save, define required params (title, content), optional params (tags, links), and output schema (id, created_at, title, content, tags, links). Use type, description, enum, minLength, maxLength, pattern for constraints.
• Expand all descriptions to 100 - 200 characters. Example: 'knowledge_save' → 'Save a new knowledge entry with automatic duplicate detection. Accepts title, content, optional tags and links. Returns entry ID, creation timestamp, and detected similar entries for review.'
• Document output schemas for all tools. E.g., knowledge_search should return {results: [{id, title, excerpt, score}], total_count, next_cursor}. This enables LLMs to chain tools and extract required fields.
• Add error handling guidance to descriptions. E.g., 'knowledge_get: Returns 404 if entry not found. Try knowledge_search() with partial title to locate the entry. Returns 403 if access denied, check permissions.'
• Implement confirmation pattern for destructive tools. Add optional 'dry_run: true' parameter to knowledge_delete, knowledge_merge, knowledge_sync. Document: 'Set dry_run=true to preview changes without committing. Omit or set false to execute.'