{
    "action": "tool_call",
    "reasoning": "I need to examine the deal stages and how close_value varies across them. From the column inspection, I can see close_value is the key measure (BIGINT, role=measure) and deal_stage is a dimension with 4 distinct values. Let me query the actual deal stages and their associated close values to understand pipeline performance.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT deal_stage, COUNT(*) as opportunity_count, COUNT(close_value) as opportunities_with_value, SUM(close_value) as total_value, AVG(close_value) as avg_value, MIN(close_value) as min_value, MAX(close_value) as max_value FROM raw.sales_pipeline GROUP BY deal_stage ORDER BY total_value DESC",
        "purpose": "Analyze close_value (the key revenue metric) across deal_stage (the key pipeline category) to identify performance patterns",
        "source": "raw"
    }
}