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Mellix MCP server

Mellix MCP server

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by mellix-ai

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    TDQS

    A4.1/5.0

    Scored across 3 tools

    Disambiguation5/5

    The three tools serve clearly separate roles: a liveness probe, the core inference call, and model enumeration. There is no plausible way an agent confuses `decide` with either `health` or `list_models`, and the descriptions reinforce the boundaries.

    Naming Consistency4/5

    All names are lowercase snake_case, which is consistent. `list_models` follows verb_noun while `health` is a bare noun and `decide` a bare verb, a minor deviation but still readable and idiomatic for a small API surface.

    Tool Count4/5

    Three tools is on the thin side but each earns its place: the domain is a single inference endpoint plus two supporting utilities. Nothing feels padded, though the surface is minimal enough that any addition would be noticeable.

    Completeness4/5

    The core decision lifecycle (check availability, discover models, submit typed questions with thresholds and escalation) is covered, and batching is handled via multiple questions per call. Minor gaps remain: no async/job handling for the 25-second timeout, no way to retrieve past decisions or inspect billing/usage.

    Maintenance

    ActivityMaintained
    ResponsivenessSyncing