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financial-modeling-harness

financial-modeling-harness

by harshith-vaddiparthy
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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

    B3.4/5.0

    Scored across 6 tools

    Disambiguation4/5

    Each tool maps to a distinct stage of the modeling lifecycle (readiness, validation, run, verification, sensitivity sweep, summary read). The only mild overlaps are doctor vs. validate (both 'checks') and run vs. sensitivity (sensitivity recalculates the model), but the descriptions clearly separate environment readiness from input validation and single-run from driver sweeps.

    Naming Consistency4/5

    All tools share a `finance_` namespace prefix and use short, readable verb-style suffixes (doctor, validate, run, verify, sensitivity). The only deviation is `finance_get_summary`, which switches to a verb_noun form while others use a bare verb or noun.

    Tool Count5/5

    Six tools is well within the sweet spot and each one corresponds to a meaningful, non-redundant step in the workflow. There are no filler or trivially thin tools.

    Completeness4/5

    The surface covers the full lifecycle: readiness check, input validation, model execution, artifact verification, sensitivity analysis, and summary retrieval. Minor gaps exist around managing saved runs (listing or deleting prior immutable runs) and exporting results, but core workflows are covered.

    Maintenance

    ActivityMaintained
    ResponsivenessNo recent community issues

    Resources