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Ialyahya96

Habitscore

by Ialyahya96
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TypeScript
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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

    A3.7/5.0

    Scored across 5 tools

    Disambiguation3/5

    analyze_behaviour, extract_insights and recommend_next_actions all operate on the same habit data and return overlapping artefacts (highlights, watchouts, recommendations), so the boundary between 'full analysis', 'narrative only', and 'next actions only' requires reading descriptions carefully. analyze_reliability vs analyze_behaviour is clearer (tasks/jobs vs habits) but still conceptually adjacent.

    Naming Consistency5/5

    All five names follow a strict verb_noun snake_case pattern (analyze_*, recommend_*, extract_*, build_*), so intent and grouping are immediately predictable. No mixed camelCase or vague single-word verbs.

    Tool Count4/5

    Five tools is well within a healthy scope for an analysis-only service and each maps to a distinct output tier. Slight redundancy: extract_insights looks like a trimmed slice of analyze_behaviour rather than an independent capability.

    Completeness3/5

    Coverage is analysis-only: there is no way to record, update or query stored habit/task data, so every call must supply its own figures. Planning exists for a single habit but not for task/pipeline remediation or multi-habit plans, which leaves some obvious lifecycle gaps.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources