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casecraft

by Olivesz
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Python
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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

    A4/5.0

    Scored across 19 tools

    Disambiguation3/5

    Several tools overlap in purpose: listen and collect_answer both capture speech; answer_clarification and release_clarification both release withheld facts. However, descriptions help distinguish general conversation from graded answers and keyword vs id-based release, so most tools remain distinct.

    Naming Consistency3/5

    Tool names mix verb_noun patterns (start_case, collect_answer) with noun phrases (catalog, progress, room_status) and single verbs (listen, say). While all use snake_case and are readable, the lack of a consistent verb-first convention creates a mixed style.

    Tool Count4/5

    19 tools is slightly above the typical well-scoped range, but given the full lifecycle of case interview practice—session control, questioning, grading, feedback, room management—each tool serves a clear purpose and the count is justified.

    Completeness5/5

    The tool set covers the entire interview flow: starting cases and drills, delivering questions, collecting and grading answers, providing hints and model answers, managing clarifications, displaying exhibits, monitoring room health, and finishing with a scorecard. No critical gaps or dead ends exist.

    Maintenance

    ActivityMaintained
    ResponsivenessSyncing

    Resources