{
    "action": "tool_call",
    "reasoning": "I've discovered the 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 (intent, outcome, sentiment) that could provide natural segmentation. I need to analyze the actual segmentation dimensions available in the call-level data to identify natural groupings.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT AI_Handled AS outcome, 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": "Identify the distinct call outcomes to understand outcome-based segmentation"
    }
}