{
    "action": "tool_call",
    "reasoning": "I have strong evidence about deal stages, win rates, and account performance. To find something truly surprising, I should look for patterns that contradict normal business expectations. One angle: in B2B sales, larger deals typically have lower win rates (harder to close), and accounts with more activity might show fatigue. Let me check if deal value correlates with win rate - I'd expect inverse correlation, but if high-value deals win MORE often, that would be counterintuitive.",
    "tool": "query_sql",
    "args": {
        "sql": "WITH deal_value_buckets AS (SELECT CASE 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 FROM raw.b2b_sales_funnel_pipeline WHERE deal_stage IN ('Won', 'Lost')) SELECT value_bucket, COUNT(*) AS total_deals, SUM(CASE WHEN deal_stage = 'Won' THEN 1 ELSE 0 END) AS won_deals, ROUND(100.0 * SUM(CASE WHEN deal_stage = 'Won' THEN 1 ELSE 0 END) / COUNT(*), 1) AS win_rate_pct FROM deal_value_buckets GROUP BY value_bucket ORDER BY CASE value_bucket WHEN 'Under $1K' THEN 1 WHEN '$1K-$2K' THEN 2 WHEN '$2K-$5K' THEN 3 WHEN '$5K-$10K' THEN 4 ELSE 5 END",
        "purpose": "Test if win rate varies by deal size - expecting lower win rates for larger deals, but if the opposite is true, that would be surprising",
        "source": "raw"
    }
}