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Omilia MCP Tools

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    TDQS

    B3.4/5.0

    Scored across 10 tools

    Disambiguation4/5

    Most tools have distinct purposes targeting different resources (collections, dialogs, miniapps, orchestrator apps, numbers), but some overlap exists: 'get_dialog_logs' and 'search_dialog_logs' both handle dialog logs, though one is for specific IDs and the other for filtered searches. The 'get_miniapp' and 'set_miniapp_prompt' tools are clearly differentiated by their actions. Overall, descriptions help clarify boundaries, but the dialog log tools could potentially cause confusion.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern using snake_case, with verbs like 'get', 'search', and 'set' clearly indicating actions. The naming is highly predictable and readable throughout the set, with no deviations in style or convention.

    Tool Count5/5

    With 10 tools, the count is well-scoped for managing a conversational AI platform, covering variables, dialogs, miniapps, orchestrator apps, and numbers. Each tool appears to earn its place by addressing specific operations without being overly sparse or bloated.

    Completeness3/5

    The toolset provides good read/search capabilities (get and search operations) but lacks update or delete functions for most resources, except for 'set_miniapp_prompt' which allows updates. There are notable gaps in lifecycle coverage: no tools for creating or deleting miniapps, orchestrator apps, variable collections, or numbers, which could limit agent workflows in managing these resources fully.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources