{
    "action": "tool_call",
    "reasoning": "I need to identify correlations between columns. From the evidence, I can see the actual data structure: the first 7 rows are a summary table (Thu-Today plus TOTAL), and rows starting from row 11 contain individual call records with columns like Call ID, Date, Time, Caller, Intent, Outcome, Duration (s), Duration (m:ss), Sentiment Score, and Sentiment Label. The previous correlation attempt failed because Duration is stored in m:ss format. I need to use the numeric columns that are already typed correctly: Duration (s) and Sentiment Score from the call-level data. Let me query the numeric columns to compute correlations.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT CORR(CAST(\"Duration (s)\" AS DOUBLE), CAST(\"Sentiment Score\" AS DOUBLE)) as duration_sentiment_corr, AVG(CAST(\"Duration (s)\" AS DOUBLE)) as avg_duration_seconds, AVG(CAST(\"Sentiment Score\" AS DOUBLE)) as avg_sentiment FROM raw.callyeah_analytics_2026_07_23 WHERE \"Duration (s)\" IS NOT NULL AND \"Duration (s)\" != '' AND \"Sentiment Score\" IS NOT NULL AND \"Sentiment Score\" != '' AND \"Call ID\" IS NOT NULL",
        "purpose": "Calculate correlation between call duration and sentiment score for individual calls",
        "source": "raw"
    }
}