{
    "action": "tool_call",
    "reasoning": "I've found several patterns in the evidence: 100% win rate for deals ≥$1K, 0% value on all Lost deals, and NULL values for Engaging/Prospecting stages. The most striking anomaly is the perfect 100% win rate for every deal valued at $1K or above (2,381 deals spanning $1K-$30K+), while deals under $1K have only 42.9% win rate. This is highly counterintuitive—in real B2B sales, larger deals typically have LOWER win rates due to longer cycles, more stakeholders, and competitive pressure. Before declaring this the most surprising finding, I should verify whether this pattern holds across different accounts or time periods to rule out data artifacts.",
    "tool": "query_sql",
    "args": {
        "sql": "WITH deal_value_outcomes AS (SELECT CASE WHEN close_value IS NULL THEN 'NULL' WHEN close_value = 0 THEN '$0' WHEN close_value < 1000 THEN 'Under $1K' WHEN close_value < 2000 THEN '$1K-$2K' WHEN close_value < 5000 THEN '$2K-$5K' WHEN close_value < 10000 THEN '$5K-$10K' ELSE '$10K+' END AS value_bucket, deal_stage, EXTRACT(MONTH FROM close_date) AS close_month FROM raw.b2b_sales_funnel_pipeline WHERE deal_stage IN ('Won', 'Lost') AND close_value IS NOT NULL) SELECT value_bucket, close_month, COUNT(*) AS deals, SUM(CASE WHEN deal_stage = 'Won' THEN 1 ELSE 0 END) AS won, ROUND(100.0 * SUM(CASE WHEN deal_stage = 'Won' THEN 1 ELSE 0 END) / COUNT(*), 1) AS win_rate_pct FROM deal_value_outcomes GROUP BY value_bucket, close_month ORDER BY value_bucket, close_month",
        "purpose": "Check if the 100% win rate for deals ≥$1K holds consistently across different months, or if it's concentrated in specific time periods that might indicate a data quality issue",
        "source": "raw"
    }
}