Critical gaps across all dimensions. Tool definitions are minimal and incomplete. The minimal-server.py shows only tool names and generic descriptions in a GET endpoint response, not proper MCP tool registration with schemas. No input parameter schemas are visible in the source code. Descriptions are extremely brief (10-30 chars), well below the 50-200 char baseline for LLM-optimized tools. No output schemas documented. No error handling guidance. The server appears to be a stub implementation rather than a production-ready MCP server.

• Expand tool descriptions to 80-150 characters. Example for read_file: 'Read and return the full contents of a file at the specified path. Returns file content as a string. Use this to inspect configuration files, source code, or text documents. Fails if file does not exist or is not readable.'
• Add complete JSON Schema for all parameters. Example for write_file: {"file_path": {"type": "string", "description": "Absolute or relative path to the file. Must not contain path traversal sequences (..). Max 1024 chars."}, "content": {"type": "string", "description": "Content to write. Max 10MB. If file exists, overwrites completely."}}
• Document output schemas. Example for list_directory: Returns {"files": [{"name": string, "type": "file"|"directory", "size_bytes": number, "modified_iso8601": string}], "total_count": number}. Limit results to 100 items; use offset/limit for pagination.
• Add error handling and recovery guidance. For write_file: 'If permission denied, check file ownership and umask. If disk full, free space and retry. If path invalid, verify directory exists.' For read_file: 'If file not found, use list_directory to discover available files.'
• Implement path sanitization and document it. Reject paths containing '..' or absolute paths outside a safe root directory. Add a 'base_directory' parameter or config to constrain all file operations to a sandbox.