{
    "action": "tool_call",
    "reasoning": "The inspect_columns result shows all columns are VARCHAR type, including numeric-looking columns like 'Total Calls', 'AI Handled', 'Human Handled', 'AI Resolution %', and 'Human %'. The unnamed columns (_unnamed_7, _unnamed_8, _unnamed_9) have ranges suggesting they contain 'Duration', 'Sentiment Score', and 'Sentiment Label' data. To find correlations, I need to: 1) First examine actual data to understand the structure and identify which columns contain numeric values that can be correlated, 2) Then compute correlations between numeric columns. Let me start by sampling rows to see the actual data structure.",
    "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 LIMIT 10",
        "purpose": "Sample rows to understand the data structure and identify which columns contain numeric values for correlation analysis",
        "source": "raw"
    }
}