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chatgpt-jules-mcp

by Danissimode
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    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

    C2/5.0

    Scored across 14 tools

    Disambiguation4/5

    Tool names are generally distinct with clear actions (get vs list, find vs get) but some pairs like get_activity and list_activities could cause confusion. Without descriptions, an agent might misselect between similar resource-targeting tools.

    Naming Consistency5/5

    All tools consistently use snake_case with a verb_noun pattern (e.g., create_session, list_sources). The only exception is health, which is a common standalone name. This pattern aids predictability.

    Tool Count5/5

    14 tools is well within the ideal 3-15 range for a focused assistant system. Each tool appears to serve a distinct function without redundancy, making the set appropriately scoped.

    Completeness3/5

    The surface covers querying and creating sessions, activities, and sources, but lacks update and delete operations for these resources. This leaves gaps that may hinder full lifecycle management.

    Maintenance

    ActivityMaintained
    ResponsivenessSyncing

    Resources