I need to identify all numeric columns across the dataset and compute their distribution statistics in a single efficient query. Let me start by getting an overview of the columns to identify which are numeric. ```json { "action": "tool_call", "reasoning": "I need to identify all numeric columns across the dataset. The analytics.column_overview metadata table contains phys_type which will tell me which columns are numeric. I'll query this to get a comprehensive list of numeric columns with their tables.", "tool": "query_sql", "args": { "sql": "SELECT table_name, column_name, phys_type FROM analytics.column_overview WHERE phys_type IN ('BIGINT', 'INTEGER', 'DOUBLE', 'DECIMAL', 'FLOAT', 'NUMERIC', 'REAL', 'SMALLINT', 'TINYINT') ORDER BY table_name, column_name", "purpose": "Identify all numeric columns across the dataset to compute distribution statistics" } } ```