{
    "action": "tool_call",
    "reasoning": "The previous query failed because the AI Resolution % column contains non-numeric values like 'AI Resolution Rate' (likely a header row that got imported as data). I need to filter out non-numeric rows and handle the percentage conversion properly. Let me query to see what the actual data looks like and identify which rows are valid data vs headers/footers.",
    "tool": "query_sql",
    "purpose": "Examine the Day column values to identify header rows and understand the data structure",
    "args": {
        "sql": "SELECT Day, \"Total Calls\", \"AI Resolution %\", COUNT(*) OVER () as total_rows FROM raw.callyeah_analytics_2026_07_23 WHERE Day NOT IN ('Day', '', 'TOTAL') AND \"Total Calls\" != 'Total Calls' LIMIT 20",
        "purpose": "Identify valid data rows and examine the structure of Day and AI Resolution % columns"
    }
}