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ModelRisk MCP

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    TDQS

    B3.4/5.0

    Scored across 59 tools

    Disambiguation3/5

    Descriptions are unusually rich and differentiate most tools, but several near-duplicate clusters create real selection risk: find_hard_coded_inputs vs discover_inputs (both surface candidate inputs), create_aggregate vs create_aggregate_mc, and a reporting cluster (build_executive_report vs build_drivers_report vs generate_executive_summary vs create_tornado_chart) that all touch sensitivity/dashboards. An agent will frequently have to read the full descriptions to pick correctly.

    Naming Consistency4/5

    Names are overwhelmingly consistent snake_case verb_noun (list_modelrisk_inputs, run_simulation, fit_copula_to_data, get_tail_risk). Minor deviations like reverse_stress_test (no leading verb) and descriptive compounds (fit_all_data_and_wire, build_model_from_brief) break the pattern slightly but remain readable and predictable.

    Tool Count2/5

    59 tools is far beyond the well-scoped 3-15 range and above the 25+ 'too many' threshold, creating a heavy selection burden for an agent. The domain is genuinely broad (fitting, simulation, aggregation, copulas, reporting, auditing), so it is not trivially over-provisioned, but the overlap clusters show meaningful consolidation opportunities.

    Completeness4/5

    Lifecycle coverage is extensive: workbook open/close/list/save, read/write cells, input/output wrapping, distribution/copula/tail/time-series fitting, simulation, results and sample retrieval, sensitivity/tail-risk/backtest analysis, charting, auditing, and audit-log rollback. Minor gaps remain — no explicit unwrap/delete for VoseInput/VoseOutput or distribution nodes (only restore_cell via the audit log) and no tool to create a brand-new workbook from scratch.

    Maintenance

    ActivityMaintained
    ResponsivenessUnresponsive

    Resources