{
    "action": "tool_call",
    "reasoning": "I have strong evidence of a counterintuitive pattern: Lost deals have close_dates and close_values of exactly 0, while Engaging/Prospecting deals have NULL close_values. This suggests 'Lost' is treated as a closed outcome (with a date) but valued at zero, while open deals have no value yet. However, to identify the MOST surprising finding, I should explore other dimensions. Let me check win rates and deal values by product to see if there are unexpected patterns in what sells well vs poorly.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT p.product, p.deal_stage, COUNT(*) as deals, SUM(CASE WHEN p.close_value > 0 THEN p.close_value ELSE 0 END) as total_value, ROUND(100.0 * COUNT(*) / SUM(COUNT(*)) OVER (PARTITION BY p.product), 1) as pct_of_product FROM raw.sales_pipeline p GROUP BY p.product, p.deal_stage ORDER BY p.product, deals DESC",
        "purpose": "Examine win/loss rates and values by product to identify if any products have surprisingly high loss rates or unexpected value patterns",
        "source": "raw"
    }
}