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GoalGorithm MCP Server

by tohoanganhai
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Python
Remote

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    TDQS

    A3.9/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: get_league_table retrieves team statistics, list_leagues provides league metadata, and predict_match forecasts match outcomes. There is no overlap in functionality, making tool selection straightforward for an agent.

    Naming Consistency5/5

    All tools follow a consistent verb_noun naming pattern (get_league_table, list_leagues, predict_match). The verbs are descriptive and appropriate for their actions, and the snake_case style is uniformly applied across all tools.

    Tool Count3/5

    With only 3 tools, the server feels thin for a soccer analytics domain. While the tools cover key areas (leagues, tables, predictions), additional operations like historical match data or player statistics could enhance completeness, making the count borderline for the apparent scope.

    Completeness4/5

    The tools provide a solid foundation for soccer analytics with league listing, table retrieval, and match prediction. However, there are minor gaps, such as missing update or delete operations for leagues or teams, and no tools for deeper statistical analysis or historical data, which agents might need to work around.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources