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ai-design-expert

by AnxiangTechnology
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    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 4 tools

    Disambiguation5/5

    Each tool targets a distinct stage of the design pipeline: requirement analysis, token extraction, design generation, and visual audit. Input types and outputs are clearly differentiated, leaving no ambiguity about which tool to use.

    Naming Consistency5/5

    All four tools follow a consistent snake_case verb_noun pattern: analyze_requirement, extract_tokens, generate_design, audit_visual. The naming is predictable and uniform throughout.

    Tool Count5/5

    Four tools map cleanly onto a coherent design workflow. The count sits well within the 3-15 sweet spot, and each tool has a clear, non-redundant role.

    Completeness4/5

    The surface covers the full end-to-end workflow: parse requirements, extract tokens, generate a design, and audit the visual result. A minor gap exists in that there is no explicit tool to refine or fix the design based on audit findings, though an agent could work around this by re-invoking generate_design.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources