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ai-design-expert

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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 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