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GoldenPathAI

AI Consultant MCP Server

by GoldenPathAI
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    Deploy Server
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    TDQS

    B3.4/5.0

    Scored across 2 tools

    Disambiguation5/5

    The two tools have completely distinct purposes: consult_ai is for executing AI consultations, while list_models is for retrieving model information. There is no overlap in functionality, making it impossible for an agent to confuse them.

    Naming Consistency5/5

    Both tools follow a consistent verb_noun pattern (consult_ai, list_models) with clear, descriptive names. The naming convention is uniform and predictable across the set.

    Tool Count2/5

    With only two tools, the server feels under-scoped for an 'AI Consultant' domain. While the tools cover consultation and model listing, there are likely missing operations like managing consultation history, configuring model parameters, or handling feedback, making the set feel incomplete for the stated purpose.

    Completeness2/5

    For an AI consultant server, the tool surface is severely incomplete. It lacks essential operations such as saving or retrieving past consultations, adjusting consultation settings, or providing feedback on model performance. The current tools only cover the most basic consultation flow, leaving significant gaps that will hinder agent workflows.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources