Server provides 12 vision-focused tools for clipboard and file-based image analysis via Qwen-VL. However, critical quality gaps severely limit production readiness. Tool descriptions are bilingual (Chinese/English) and moderately detailed, but parameter documentation is sparse or missing. Input schemas are present but lack constraint information (enums, patterns, ranges). Output schemas are completely undocumented, critical for LLM planning. Error handling is absent from tool definitions. The codebase shows security awareness (file validation, magic number checks) but tools expose path parameters without sufficient guidance on what inputs are valid. Naming is clear and verb-based ('analyze_*', 'extract_*', 'describe_*'), which is a strength. However, clipboard tools lack parameter descriptions entirely, and file tools do not document format constraints, path restrictions, or error conditions.

• Document output schema for all 12 tools. Add a TextContent field description explaining that responses contain unstructured vision analysis text, or restructure responses to return JSON objects with 'analysis', 'confidence', 'raw_text' fields if needed.
• Add parameter descriptions to clipboard tools. E.g., for 'analyze_clipboard': 'Analyzes the image currently in the system clipboard. No parameters required. Optional prompt field accepts a custom question to ask the vision model (default: detailed description).'
• Add file path parameter constraints to all file-based tools (7 tools). Document: 'Absolute path to image file. Supported formats: PNG, JPEG, GIF, WebP, BMP. Max size: 20 MB. Path must be readable by the server process. Will fail with a clear error if format/size invalid.'
• Define error responses and recovery guidance. Specify three categories: (1) File not found → 'ensure path is absolute and readable'; (2) Unsupported format → 'use PNG or JPEG'; (3) API error → 'check MODELSCOPE API credentials and network access.' Add these to tool descriptions or a dedicated error reference.
• Clarify the purpose and scope of analyze_image vs analyze_chart vs understand_diagram. E.g., 'Use analyze_image for generic photos, UI screenshots, or mixed content. Use analyze_chart exclusively for bar/line/pie/scatter charts from business/analytics tools. Use understand_diagram for flow charts, architecture diagrams, ER diagrams, process flows.'
• Document the custom 'prompt' parameter in analyze_image and analyze_clipboard. Clarify: 'Optional. If omitted, uses a default analysis prompt. If provided, replaces the default, the model will answer only your question. Examples: "What errors do you see?", "List all text". Keep under 500 characters.'