```json { "action": "tool_call", "reasoning": "The previous queries returned 0 rows, suggesting they may have been looking in the wrong place or using incorrect syntax. I need to first identify which columns are numeric across all tables. I'll query the analytics.column_overview metadata to find all numeric columns, then write a single comprehensive SQL query to profile them all at once.", "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') ORDER BY table_name, column_name", "purpose": "Identify all numeric columns across all tables to profile their distributions", "source": "raw" } } ```