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1710782766

llm-vision

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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.5/5.0

    Scored across 2 tools

    Disambiguation4/5

    The two tools have clear primary purposes: describe_image handles general visual understanding and Q&A, while extract_text is specialized for OCR and structured text extraction. There is slight overlap if someone uses describe_image for text-heavy images, but the descriptions sufficiently differentiate them.

    Naming Consistency5/5

    Both tool names follow the verb_noun pattern in snake_case (describe_image, extract_text), which is consistent, predictable, and matches the server's vision-oriented domain.

    Tool Count3/5

    With only 2 tools, the server feels thin for a broad 'vision' scope. While the tools are focused and purposeful, the count is at the low end and leaves little room for a comprehensive vision toolkit.

    Completeness3/5

    The tools cover the two most common vision tasks (generic description/QA and text extraction), but many other vision capabilities (e.g., object detection, image comparison, classification) are absent. The surface is minimal and may require workarounds for non-OCR/description tasks.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources