{
    "action": "tool_call",
    "reasoning": "The evidence shows this dataset has a mixed structure with 150 individual call records, 30 date values, 7 daily summaries, and other metadata rows. The call records contain rich attributes in the 'AI Handled' column (which actually holds Intent) and 'Human Handled' column (which holds Outcome). I need to analyze the actual intent and outcome distributions to identify natural segmentation opportunities.",
    "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 the individual call records to identify natural groupings by purpose"
    }
}