I need to identify the most important metric and category, then show how they relate. Let me start by understanding what makes a metric or category "important" in this sales context. {"action": "think", "reasoning": "From the evidence so far, I can see this is a sales pipeline dataset. The most important metric in a sales context is typically revenue/value, and the most important category would be deal stage (showing pipeline health) or sales agent (showing performance). Let me verify what metrics exist and examine the deal stages and their relationship to close_value."} {"action": "tool_call", "reasoning": "I need to understand the deal stages and how close_value (the revenue metric) distributes across them. This will show pipeline health - how much value is at each stage of the sales process. I'll check if there's a pre-aggregated gold table for this.", "tool": "query_sql", "args": {"sql": "SELECT * FROM sales_pipeline_by_deal_stage LIMIT 10", "purpose": "Check if gold table exists with deal stage breakdown", "source": "gold"}}