Vision MCP has 7 tools with complete input schemas and descriptions, but significant quality gaps limit production readiness. Tool names lack clear verb-noun structure (analyze_image, compare_images, ocr_text are acceptable but generic). Descriptions are in Chinese and moderately detailed (50-150 chars), meeting minimum standards but not optimized for LLM selection. All parameters have type and description fields. However, no output schemas are documented, critical for agents planning downstream calls. Error handling is minimal; the code shows basic try-catch but no recovery guidance. No tool annotations (readOnlyHint, destructiveHint, idempotentHint) despite all tools being read-only. Parameter validation is weak: no enums for provider selection, no min/max for file sizes, no format constraints. The codebase shows good intent (multi-provider fallback, caching, config system) but tool definitions themselves lack production polish.

• Document output schema for each tool. Example for analyze_image: {type: 'object', properties: {summary: {type: 'string'}, key_elements: {type: 'array', items: {type: 'string'}}, text_content: {type: 'string'}, layout_analysis: {type: 'string'}}}
• Add readOnlyHint: true to all 7 tools in the tool definition to signal safety to agents.
• Convert provider parameter to enum: ['gemini', 'siliconflow', 'openai', 'dashscope', 'custom', 'auto'] with description 'Vision provider to use. Defaults to auto-selection by priority.'
• Translate all descriptions and parameter docs to English. Current Chinese descriptions limit compatibility with English LLMs.
• Add recovery guidance to error messages. Example: 'File not found at {path}. Verify the path exists or call check_vision to list available images.'