This server demonstrates solid definition quality with well-structured tool names, comprehensive descriptions, and explicit parameter schemas. All 5 tools follow verb-noun naming conventions and include detailed descriptions explaining WHAT the tool does, WHEN to use it, and WHEN to prefer alternatives. Parameter schemas are present and typed. However, there are notable gaps in output schema documentation, error handling guidance, and some parameter constraints could be more explicit. The execute_code and set_parameter tools have particularly strong descriptions with pre-initialized context and usage guidance, bringing the overall score into the B+ range despite missing output documentation.

• Add formal output schemas for all tools. Example for execute_code: { "output": { "type": "object", "properties": { "stdout": { "type": "string", "description": "All print() output and execution results" }, "success": { "type": "boolean" }, "error": { "type": "string", "description": "Traceback if execution failed" } } } }
• Extend error descriptions with recovery guidance. Example for set_parameter: 'If parameter not found, call list_user_parameters() to see available parameters, then retry with correct name.'
• Add a dry_run or confirm_before_execute boolean parameter to execute_code to prevent accidental model corruption. Description: 'If true, validate the code but don't execute. Returns planned changes for user confirmation.'
• Document get_viewport_screenshot output format: 'Returns a PNG image of the viewport at current resolution and camera angle. Image data encoded as base64 string in response.'
• Clarify health response: 'Returns { "status": "connected", "api_version": "<version>", "response_time_ms": <int> } if add-in is reachable. Returns error object if unreachable.'
• Add optional limit and offset parameters to list_user_parameters with default limit=100. Description: 'Returns up to limit user parameters starting at offset. Common pattern reduces token waste for large parameter lists.'
• For execute_code, document the pre-initialized context more explicitly in schema: add a 'pre_initialized_vars' array parameter description or separate reference tool (get_execution_context) so LLMs know what's available.