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cmagorian

TrainHeroic

by cmagorian
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

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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

    A3.6/5.0

    Scored across 20 tools

    Disambiguation4/5

    Most tools target distinct resource+action pairs. A few exercise performance tools (get_exercise_stats, get_personal_records, get_working_max) overlap in information returned, but descriptions clarify their specific scopes. Overall, agents can reliably select the right tool.

    Naming Consistency4/5

    Tool names mostly follow a verb_noun pattern with get_ prefix for reads and action verbs for mutations. A minor inconsistency exists between 'session' and 'workout' terminology (create_personal_session vs log_workout), and some nouns are singular vs plural, but the pattern is predictable and consistent in style.

    Tool Count4/5

    20 tools is on the heavier side but each covers a distinct aspect of the training domain: user/team info, session management, workout logging, surveys, messaging, leaderboards, and exercise data. No tool feels redundant, though the count could be trimmed by merging some exercise stat tools.

    Completeness3/5

    Core session lifecycle (create, add exercises, log, delete) is covered, along with history, details, surveys, and leaderboards. Notable gaps include no update/remove exercises from a session, no upcoming workout schedule, and circuits cannot be added to sessions despite having a library. These are working gaps agents may need to work around.

    Maintenance

    ActivityStale
    ResponsivenessNo issues

    Resources