{
    "action": "tool_call",
    "reasoning": "The deal stage breakdown shows an interesting pattern: 48.2% won rate is quite high, and lost deals have 0 average value (expected), but engaging and prospecting stages show NULL average values, which is unusual. Before identifying the most surprising finding, I need to understand the temporal patterns and value distributions better. Let me examine the close_value distribution across all stages and check if there are any anomalies in the data that might reveal something counterintuitive.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT deal_stage, COUNT(*) as deals, COUNT(close_value) as deals_with_value, SUM(CASE WHEN close_value IS NULL THEN 1 ELSE 0 END) as null_values, MIN(close_value) as min_value, MAX(close_value) as max_value, AVG(close_value) as avg_value, MEDIAN(close_value) as median_value FROM raw.sales_pipeline GROUP BY deal_stage ORDER BY deals DESC",
        "purpose": "Examine close_value distribution across deal stages to understand why engaging/prospecting show null averages and identify any data anomalies",
        "source": "raw"
    }
}