{
    "action": "tool_call",
    "reasoning": "The previous queries revealed the data structure: the table contains both summary rows (Thu/Fri/Sat/etc., TOTAL) and daily date rows (23-Jun, 24-Jun, etc.). The failed query attempted to cast 'Day' values as integers, which failed because some are dates like '2026-07-22'. I need to filter to only the date rows (excluding day-of-week summaries) and properly parse the numeric columns which are stored as VARCHAR. Let me query the daily trend data to find patterns, focusing on the relationship between call volume and AI resolution rate, and looking for any counterintuitive correlations.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT Day, CAST(REPLACE(\"Total Calls\", ',', '') AS INTEGER) as total_calls, CAST(REPLACE(\"AI Handled\", ',', '') AS INTEGER) as ai_handled, CAST(REPLACE(\"Human Handled\", ',', '') AS INTEGER) as human_handled, CAST(REPLACE(\"AI Resolution %\", '%', '') AS DECIMAL) as ai_resolution_pct FROM raw.callyeah_analytics_2026_07_23 WHERE Day NOT IN ('Thu', 'Fri', 'Sat', 'Sun', 'Mon', 'Tue', 'Today', 'TOTAL', '', 'Date', 'Call ID') AND \"Total Calls\" NOT IN ('', 'Total Calls', 'Count') AND Day LIKE '%-%' ORDER BY Day",
        "purpose": "Extract clean daily data with proper numeric types to analyze patterns and find counterintuitive relationships",
        "source": "raw"
    }
}