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Ahsankamal22

CustomerIQ-Agent

by Ahsankamal22
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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

    B3.4/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool targets a clearly distinct task: churn risk scoring, support ticket classification, and policy Q&A. There is no overlap in purpose or inputs, so an agent can easily select the correct tool.

    Naming Consistency4/5

    All names use consistent snake_case and are descriptive noun phrases, which is readable and predictable. However, they do not follow the common verb_noun action pattern, so the convention is consistent but not action-oriented.

    Tool Count5/5

    Three tools map cleanly to three distinct underlying capabilities (tabular ML, NLP classifier, RAG). The count is well-scoped and each tool earns its place without redundancy.

    Completeness4/5

    The surface covers the three stated project functions, but lacks supporting operations like customer lookup, ticket history, or score explanation. These are minor gaps that an agent could work around for the core tasks.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources