ModelRisk MCP
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TDQS
Scored across 59 tools
Several tool clusters overlap heavily: discover_inputs and find_hard_coded_inputs both hunt for candidate uncertain inputs, get_correlation_matrix vs compute_correlation_matrix vs fit_copula_to_data all involve correlation from different sources, and the report/chart tools blur together. Individual descriptions are helpful, but the sheer number of near-duplicate convenience wrappers makes misselection likely.
Most tools follow a verb_noun snake_case pattern, which is broadly predictable. However, retrieval verbs are inconsistent — list, get, read, compute — and there are awkward variants like create_aggregate_mc, wrap_with_input, and fit_all_data_and_wire that break the clean pattern.
59 tools is far beyond the 16-25 heavy threshold and squarely in the 50+ extreme range. While the domain is broad, many tools are convenience wrappers or one-shot summaries that could be merged or expressed as parameters of a smaller set.
The surface is remarkably complete for Monte Carlo risk modeling: workbook lifecycle, cell reading/writing, distribution fitting, simulation, results analysis, tail risk, copulas, time series, auditing, charting, and rollback are all covered. There are no obvious dead ends — the high-level build and plan tools tie the lower-level operations together.