I need to identify the most important numeric metric and show its extreme records. Let me analyze what I have. From the evidence, I can see the sales_pipeline table has one key numeric measure: `close_value` (revenue from closed deals). This is clearly the most important business metric in a sales pipeline dataset. Now I need to find the highest and lowest records by close_value. I'll write a query to get both extremes. ```json { "action": "tool_call", "reasoning": "close_value is the primary business metric (deal revenue). I need to find the records with the highest and lowest close_value to show the extremes. I'll use a UNION to get top 10 highest and top 10 lowest in one query.", "tool": "query_sql", "args": { "sql": "SELECT opportunity_id, sales_agent, product, account, deal_stage, engage_date, close_date, close_value, 'Highest' as extreme_type FROM raw.sales_pipeline WHERE close_value IS NOT NULL ORDER BY close_value DESC LIMIT 10 UNION ALL SELECT opportunity_id, sales_agent, product, account, deal_stage, engage_date, close_date, close_value, 'Lowest' as extreme_type FROM raw.sales_pipeline WHERE close_value IS NOT NULL ORDER BY close_value ASC LIMIT 10 ORDER BY close_value DESC", "purpose": "Find the 10 highest and 10 lowest close_value records to show the extremes of the most important metric", "source": "raw" } } ```