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BACH-AI-Tools

Clinical Trials MCP Server

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    TDQS

    B3.3/5.0

    Scored across 17 tools

    Disambiguation4/5

    Most tools have distinct purposes, such as get_study_details for specific trials versus search_by_condition for condition-based queries. However, some overlap exists between search_studies (general search) and more specific search tools like search_by_location, which could cause minor confusion in tool selection.

    Naming Consistency5/5

    The naming follows a highly consistent pattern with clear verb_noun structures, such as get_pediatric_studies and search_by_condition. All tools use snake_case and maintain a uniform style throughout the set, making them predictable and easy to understand.

    Tool Count4/5

    With 17 tools, the count is slightly high but reasonable for a clinical trials domain that requires diverse search and retrieval capabilities. It covers various aspects like demographics, conditions, and timelines without feeling excessively bloated, though it borders on being heavy.

    Completeness5/5

    The tool set provides comprehensive coverage for clinical trials, including detailed searches by condition, intervention, location, and more, along with retrieval of study details, timelines, and statistics. It supports full lifecycle aspects from recruiting to completed studies with results, leaving no obvious gaps for agent workflows.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues