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Scored across 7 tools
Most tools have clearly distinct roles: analyze runs the initial analysis, findings lists the results, explain provides evidence for a single claim, and load_bundle verifies shared bundles. The main ambiguity is between forecast and simulate, both forward-looking, and between analyze and findings, which both return findings; however, the descriptions give enough guidance to separate them.
All tools share the aurora_ prefix and use lowercase snake_case, which makes them immediately recognizable. Most names are verb-led (analyze, explain, forecast, intervene, simulate), with aurora_findings being the one noun-style outlier, but the convention is still predictable.
Seven tools is a well-scoped count for a statistical analysis server. Each tool addresses a distinct part of the workflow: analysis, result enumeration, evidence drill-down, bundle loading, forecasting, intervention, and simulation.
The core analysis lifecycle is well covered: analyze, list findings, explain evidence, and load external bundles, plus forward-looking tools for forecasting, intervention, and simulation. Minor gaps exist, such as no explicit run comparison or bundle export tool, but agents can work around these without major failures.