```json { "action": "tool_call", "reasoning": "The column metadata shows all columns are VARCHAR type, including what appear to be numeric metrics like 'Total Calls', 'AI Handled', 'Human Handled', 'AI Resolution %', and 'Human %'. The unnamed columns (_unnamed_7, _unnamed_8, _unnamed_9) have ranges suggesting they contain 'Duration', 'Sentiment Score', and 'Sentiment Label'. I need to query a sample of actual rows to see the data structure and identify which columns contain the key numeric metrics, then determine which is most important for call center operations.", "tool": "query_sql", "args": { "sql": "SELECT Day, \"Total Calls\", \"AI Handled\", \"Human Handled\", Voicemail, \"AI Resolution %\", \"Human %\", _unnamed_7, _unnamed_8, _unnamed_9 FROM raw.callyeah_analytics_2026_07_23 LIMIT 10", "purpose": "Sample rows to understand the actual data structure and identify which columns contain the key numeric metrics", "source": "raw" } } ```