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Ask GorillaDesk (gorilladesk-mcp)

by daisydaines
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Python
Hybrid

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    TDQS

    B3.4/5.0

    Scored across 19 tools

    Disambiguation3/5

    There is overlap between natural-language query tools (e.g., how_much_money, who_owes_me_money) and generic search tools (e.g., search_invoices, search_customers), though descriptions mitigate confusion with 'Prefer' hints. A few pairs like search_customers/find_customer and search_jobs/whats_on_the_schedule are nearly interchangeable and could lead to misselection.

    Naming Consistency3/5

    The set mixes natural-language question phrases (how_much_money, who_are_my_technicians) with standard verb_noun patterns (search_customers, get_job). Each style is internally consistent, but the lack of a unified naming convention makes it harder to predict tool names across the whole server.

    Tool Count4/5

    19 tools is slightly over the ideal 3-15 range but appropriate for the breadth of the GorillaDesk domain (customers, jobs, invoices, payments, estimates, services, users). The two-layer design (answer-oriented vs. data-access) adds functionality but also inflates the count.

    Completeness4/5

    The toolkit covers the core entities needed for a read-only business assistant. Minor gaps exist, such as missing get_* tools for payments, estimates, services, and users, but the search tools likely return sufficient detail for most 'ask' scenarios.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

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