```json { "action": "tool_call", "reasoning": "The evidence shows this dataset contains a mix of record types: 150 individual call records, 30 date values, 7 daily summaries, and various metadata rows. The call records have rich attributes in the 'unnamed' columns (Intent, Outcome, Duration, Sentiment). To identify natural segmentation opportunities, I need to examine the distribution of these key dimensions. Let me query the actual intent types and outcomes from the call records.", "tool": "query_sql", "args": { "sql": "SELECT \"AI Handled\" as intent, COUNT(*) as call_count FROM raw.callyeah_analytics_2026_07_23 WHERE \"Day\" LIKE 'CY-%' GROUP BY \"AI Handled\" ORDER BY call_count DESC", "purpose": "Get the distribution of call intents from individual call records to identify natural groupings" } } ```