Scored across 10 tools
The change-detection tools (did_it_change, real_or_sampling, market_assessment, spectral_assessment) share a review-queue theme, but descriptions explicitly state when to choose each based on input type and purpose. Other tools (ab_test, forecast_next, score_forecasts, narrative_triage, dyson_reference, which_metrics_matter) are clearly distinct. The need to carefully read the change-assessment family's conditions keeps it from a 5.
All tool names use snake_case and are descriptive, which is a consistent convention. However, they mix grammatical forms: noun phrases (market_assessment, spectral_assessment), verb phrases (forecast_next, score_forecasts), and question/idiom phrases (which_metrics_matter, did_it_change). This is a minor deviation from a uniform verb_noun pattern.
The 10 tools cover distinct analytical functions—A/B testing, change detection, sampling-artifact checks, forecasting and backtesting, market/narrative/spectral assessment, evidence ranking, and synthetic reference. Each tool earns its place with no obvious redundancy, fitting well within the 3–15 range.
The toolkit covers core signal-vs-noise workflows: change detection, artifact checks, forecasting and backtesting, market/narrative/spectral assessment, A/B testing, and evidence ranking. Minor gaps exist (e.g., no generic continuous two-sample test, no multivariate change detection for non-market series), but agents can work around them with existing tools.
