```json { "action": "tool_call", "reasoning": "I need to identify the main categorical columns and find their most common values with frequencies. From the evidence, I can see the table has columns like Day, Total Calls, AI Handled, etc. The inspect_columns result shows these are all VARCHAR. I need to query the actual distinct values and their frequencies for the key categorical columns. Let me start by getting the top values for Day (which appears to be the main categorical dimension), and then check other meaningful categorical columns. I'll write a query to get the top 10 most common values for Day with their counts.", "tool": "query_sql", "args": { "sql": "SELECT Day, COUNT(*) as frequency FROM raw.callyeah_analytics_2026_07_23 WHERE Day IS NOT NULL AND Day != '' GROUP BY Day ORDER BY frequency DESC LIMIT 10", "purpose": "Find the most common Day values and their frequencies", "source": "raw" } } ```