I need to compute distribution statistics (min, max, mean, median, spread) for all numeric columns across all tables in this dataset. From the evidence, I can see there are many numeric columns across different tables. I'll write a comprehensive query to profile all numeric columns at once, computing the requested statistics in a single pass. {"action": "tool_call", "reasoning": "I need to compute distribution statistics for all numeric columns. The evidence shows many BIGINT and DOUBLE columns across multiple tables. I'll query the column metadata to identify all numeric columns, then compute min, max, mean, median, and spread (stddev) for each in one query. I'll use the analytics.column_overview metadata which already contains min_value, max_value, and avg_value, and can compute additional stats from there.", "tool": "query_sql", "purpose": "Get distribution statistics (min, max, mean, median, spread) for all numeric columns", "sql": "SELECT table_name, column_name, phys_type, min_value, max_value, avg_value, null_count, distinct_count FROM analytics.column_overview WHERE phys_type IN ('BIGINT', 'DOUBLE', 'DECIMAL', 'INTEGER', 'FLOAT') AND min_value IS NOT NULL ORDER BY table_name, column_name"}