```json { "action": "tool_call", "reasoning": "The inspect_columns result shows distinct counts for all columns, but they're all stored as VARCHAR (text). I need to identify which columns are truly categorical (not dates, not numeric measures stored as text) and report their distinct counts. The columns Day, Total Calls, AI Handled, Human Handled, Voicemail, AI Resolution %, and Human % appear to be data columns, while _unnamed_7, _unnamed_8, _unnamed_9 might be additional fields. The _ingestion_timestamp, _batch_id, _source_file, and _source_system are metadata. Let me query a sample of rows to understand the actual content and identify which are categorical vs numeric/temporal.", "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 column content and identify which columns are categorical vs numeric/temporal", "source": "raw" } } ```