{
    "action": "tool_call",
    "reasoning": "I need to explore the data more systematically to identify surprising patterns. The evidence so far shows daily call volumes and AI resolution rates, but I haven't examined the unnamed columns (_unnamed_7, _unnamed_8, _unnamed_9) which appear to contain additional metrics based on their distinct counts and ranges. I also need to look at the actual data structure more carefully - the results show what appears to be a mixed format with summary rows and daily data. Let me query to understand the full data structure and examine those unnamed columns.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT Day, \"Total Calls\", \"AI Handled\", \"Human Handled\", Voicemail, \"AI Resolution %\", \"Human %\", _unnamed_7, _unnamed_8, _unnamed_9 FROM raw.callyeah_analytics_2026_07_23 WHERE Day NOT IN ('Thu', 'Fri', 'Sat', 'Sun', 'Mon', 'Tue', 'Today', 'TOTAL', '', 'Date', '=== DAILY TREND — LAST 30 DAYS ===', '=== CALL LOG (LAST 150 CALLS) ===', 'Outcome', 'Reason', 'Call ID') AND \"Total Calls\" NOT IN ('', 'Total Calls', 'Count') LIMIT 50",
        "purpose": "Get clean daily records to examine all columns including the unnamed ones, filtering out header and summary rows",
        "source": "raw"
    }
}