```json { "action": "tool_call", "reasoning": "The inspect_columns result shows all columns are VARCHAR type, but the range values suggest the actual data types differ from the physical storage. I need to query actual sample rows to see the real content and classify columns accurately. I'll select a few representative rows to examine the actual values in each column.", "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": "Examine actual row values to classify columns by their semantic role (identifier, dimension, metric, temporal) since all are stored as VARCHAR but likely contain different data types" } } ```