FileAnalicerMCP has 4 tools with basic descriptions and visible schemas, but significant gaps prevent higher scores. Tool names lack action verbs (analyze_project_structure, show_file_content are acceptable but not ideal). Descriptions are present but generic (10-194 chars, below the 50-200 char LLM-optimized baseline). Parameters have types and descriptions, but lack constraints (enums, ranges, format specs). Output schemas are undocumented, callers cannot predict return structure. Error handling is minimal (generic error strings, no recovery guidance). No input validation, no pagination for potentially large results, no idempotent hints on write operations. The write_file_content tool lacks confirmation/dry-run pattern for destructive operations.

• Document output schemas for all tools. E.g., analyze_project_structure returns {type: 'string', description: 'Tree-formatted directory listing'}, show_file_content returns {type: 'string', description: 'Markdown-formatted filename and content'}, files_to_markdown returns {type: 'string', description: 'Markdown-formatted file contents with code blocks'}.
• Add input validation and constraints. Use enums for filetypes (e.g., ['.py', '.js', '.ts', '.json']). Document path format requirements (absolute vs relative). Validate ignore_patterns against fnmatch syntax.
• Implement error classification and recovery guidance. Replace 'The path does not exist' with 'Path not found: /invalid/path. Verify the path is absolute and accessible.' Replace 'Error reading the file' with 'Permission denied reading /path/to/file. Check file permissions or try a different path.'
• Add result limits and pagination to files_to_markdown. Cap results at 50 files by default, return a total_count, and support offset/limit parameters. Document the limit in the description.
• Add confirmation pattern to write_file_content. Support a dry_run parameter that returns what would be written without modifying the file. Or require explicit confirmation before overwriting existing files.