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Omilia MCP Tools

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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

    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