```json { "action": "tool_call", "reasoning": "The dataset appears to be a report with mixed row types (headers, totals, data rows, blank rows) all stored in the same table. I need to examine the actual data structure more carefully to identify data quality issues. Let me query the raw data to understand the format of numeric columns and check for inconsistencies, outliers, and impossible values. I'll focus on the columns that should contain numeric data but are stored as VARCHAR.", "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 WHERE Day NOT IN ('Day', 'Date', 'Outcome', 'Reason', 'Call ID', '===', ' ', 'TOTAL') AND \"Total Calls\" != 'Total Calls' LIMIT 50", "purpose": "Extract actual data rows (excluding headers, section markers, and totals) to examine the format and values of numeric fields stored as text" } } ```