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ivky03

LeakageLens MCP

by ivky03
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Python
Hybrid

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    TDQS

    B3.3/5.0

    Scored across 4 tools

    Disambiguation4/5

    Each tool targets a distinct stage of leakage detection: profiling, dataset auditing, code auditing, and feature availability review. However, profile_dataset and audit_dataset could be confused by an agent since both operate on datasets, though their descriptions help separate general profiling from leakage-specific auditing.

    Naming Consistency5/5

    All tool names consistently follow a verb_noun pattern using lowercase snake_case: profile_dataset, audit_dataset, audit_training_code, and review_feature_availability. This makes the tool set predictable and easy to navigate.

    Tool Count5/5

    Four tools is well-scoped for a specialized leakage-detection server. Each tool has a clear, non-redundant role, and the count feels appropriate rather than thin or bloated.

    Completeness4/5

    The tool surface covers the core leakage-detection workflow: profile data, audit data for leakage, audit training code, and verify feature availability. Minor gaps exist around remediation or actionable reporting after an audit, but the main detection loop is complete.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources