```json { "action": "tool_call", "reasoning": "I have engagement data showing daily deal counts and values from Oct 2016 through mid-Dec 2016 (truncated at 50 rows). I can see a clear spike starting around Nov 20, 2016 where both deal_count and total_value jump significantly. However, the result is truncated and the dataset card shows engage_date runs through 2017-12-27. I need to see the complete time series to identify all notable spikes, dips, and breaks across the full temporal range.", "tool": "query_sql", "args": { "sql": "SELECT DATE_TRUNC('day', engage_date) as day, COUNT(*) as deal_count, SUM(close_value) as total_value FROM raw.b2b_sales_funnel_pipeline GROUP BY DATE_TRUNC('day', engage_date) ORDER BY day", "purpose": "Get complete daily time series of deal activity across the full date range to identify all spikes, dips, and breaks", "source": "raw" } } ```