{
    "action": "tool_call",
    "reasoning": "The evidence shows this dataset has a mixed structure with 150 individual call records (with columns like Call ID, Date, Time, Caller, Intent, Outcome, Duration, Sentiment) and various summary/aggregate rows. I need to understand the natural segmentation dimensions by examining the Intent and Outcome columns from the call records, which appear to be the primary categorical dimensions for grouping.",
    "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 segmentation by intent type",
        "source": "raw"
    }
}