{
    "action": "tool_call",
    "reasoning": "I've found several quality issues already: 37% zero values in close_value, one orphaned product (GTXPro), and one orphaned account (empty string). I need to check for more issues: 1) examine the distribution of close_value vs sales_price to see if close_value outliers are explainable, 2) check for formatting inconsistencies in text fields (case, whitespace, special characters), 3) look at deal_stage values and their relationship to close_value/close_date nulls, and 4) check if the empty string account is a data entry error. Let me start by examining deal_stage consistency and its relationship to the null patterns I saw.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT deal_stage, COUNT(*) as deal_count, COUNT(close_date) as has_close_date, COUNT(close_value) as has_close_value, AVG(close_value) as avg_close_value, MIN(close_value) as min_close_value, MAX(close_value) as max_close_value FROM raw.b2b_sales_funnel_pipeline GROUP BY deal_stage ORDER BY deal_stage",
        "purpose": "Check deal_stage values and their relationship to close_date/close_value nulls to identify logical inconsistencies",
        "source": "raw"
    }
}