Single tool 'get_macro' with minimal definition quality. Tool has a verb-starting name (good), but description is extremely sparse (35 chars), parameters lack depth, and no output schema is documented. The tool accepts only one input parameter with minimal guidance. This server falls into the F/D range due to incomplete definitions and lack of production-grade documentation.

• Expand tool description from 35 chars to 150 - 250 chars. State: 'Generates a desktop automation macro script from natural language instructions. Supports common desktop actions like opening apps, clicking buttons, typing text, and waiting. Returns executable macro code in the macro_script field.' This tells LLM what to expect and when to call this tool vs. other tools.
• Add a detailed description to the user_instruction parameter: 'Natural language description of the desired macro automation. Be specific about app names, UI elements, and sequence of actions. Examples: "open Chrome and search for flights", "click the save button and wait 2 seconds". Supported actions include: open_app, click, text_input, wait, select_tab, scroll. Unsupported: system administration, file deletion, external API calls.'
• Document the output schema explicitly in the tool description or as a structured return type: 'Returns an object with fields: macro_script (string, the generated macro code), language (string, e.g. "automationscript"), estimated_runtime_seconds (number), confidence (number 0-1). The macro_script field contains ready-to-execute code.'
• Add error handling examples and recovery guidance: 'If the instruction is too vague (e.g., "do stuff"), return an error with actionable feedback: "Instruction too vague. Please specify app names, UI elements, and exact sequence. Example: open the Chrome browser, click the address bar, type example.com, press Enter."'
• Consider splitting or enriching based on use case: Does this tool generate macro code or execute it? If it only generates, clarify the next step (user runs it, integration executes it). If it executes, add a dry_run parameter so agents can preview before executing irreversible actions.