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GPTProto MCP

GPTProto MCP

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by gptproto-ai
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    TDQS

    A3.7/5.0

    Scored across 9 tools

    Disambiguation4/5

    Most tools are clearly distinct, but task_get and task_wait both handle interrupted operations and could be confused at a glance. custom_create and request also overlap in submitting native API bodies, though descriptions clarify the specific use case.

    Naming Consistency4/5

    All tools share the gptproto_ prefix, which is consistent, but the remaining pattern mixes noun-only names (status, pricing, request) with noun_action names (models_list, model_describe, task_get). Singular/plural usage is inconsistent (models_list vs task_get vs tasks_list).

    Tool Count5/5

    Nine tools is well-scoped for an API client covering status, models, pricing, request execution, and task management. Each tool has a clear role and none feel redundant.

    Completeness4/5

    The tool surface covers the core lifecycle of discovering models, pricing, making requests, and managing async tasks. Minor gaps exist, such as no explicit task cancellation or file upload tool, despite status checking upload capability.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources