I'll systematically check for data quality issues in this call analytics dataset. Let me start by examining the structure and values. ```json { "action": "tool_call", "reasoning": "First, I need to understand the data structure and see sample values to identify quality issues. I'll query the raw table to see actual data patterns, checking for format inconsistencies, impossible values, and outliers.", "tool": "query_sql", "args": { "sql": "SELECT Day, Total_Calls, AI_Handled, Human_Handled, Voicemail, AI_Resolution_percent, Human_percent, _unnamed_7, _unnamed_8, _unnamed_9 FROM raw.callyeah_analytics_2026_07_23 LIMIT 20", "purpose": "Examine sample rows to identify data quality issues like format inconsistencies, unexpected values, or mixed data types" } } ```