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Scored across 15 tools
Most tools target distinct operations, but pairs like anomaly_detection/ml_anomaly_detection and linear_forecast/ml_forecast could be confused at a glance. Detailed descriptions clarify the statistical vs. machine-learning distinction, and other tools have clear boundaries.
Names mix verb-first tools (read_excel_metadata, write_formulas, run_analysis_workflow) with descriptive noun phrases (rolling_average, percentage_change, correlation_matrix). The consistent snake_case and lowercase style keep them readable, but the lack of a uniform verb_noun pattern is a minor inconsistency.
15 tools is well-scoped for an advanced calculation engine. Each tool covers a distinct analysis, mutation, or validation capability without unnecessary bloat or obvious redundancy.
The server provides broad coverage: metadata reading, summary statistics, correlations, anomalies, forecasting, data quality, output writing, and a workflow orchestrator. Minor gaps like an explicit full-data read tool are not critical because analysis tools operate on columns directly.