```json { "action": "tool_call", "reasoning": "The evidence shows 11 categorical columns across the tables. To answer what the most common values are and their frequencies, I need to query each column. I'll start with the largest table (sales_pipeline) which has the most categorical columns (deal_stage, sales_agent, account, product). I'll write one efficient query to get the top values and counts for all four columns at once using UNION ALL.", "tool": "query_sql", "args": { "sql": "SELECT 'deal_stage' AS column_name, deal_stage AS value, COUNT(*) AS frequency FROM raw.sales_pipeline GROUP BY deal_stage ORDER BY frequency DESC LIMIT 10 UNION ALL SELECT 'sales_agent', sales_agent, COUNT(*) FROM raw.sales_pipeline GROUP BY sales_agent ORDER BY COUNT(*) DESC LIMIT 10 UNION ALL SELECT 'account', account, COUNT(*) FROM raw.sales_pipeline GROUP BY account ORDER BY COUNT(*) DESC LIMIT 10 UNION ALL SELECT 'product', product, COUNT(*) FROM raw.sales_pipeline GROUP BY product ORDER BY COUNT(*) DESC LIMIT 10", "purpose": "Get top values and frequencies for the 4 categorical columns in sales_pipeline", "source": "raw" } } ```