```json { "action": "tool_call", "reasoning": "The data appears to be a formatted report with header rows and summary sections mixed into the data rows. I need to examine the actual raw data structure to identify data quality issues. I'll query the table to look at the actual data types, check for numeric values stored as text (which the card shows all columns as VARCHAR), look for impossible values, and examine the structure more carefully.", "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', 'TOTAL', '', 'Date', 'Outcome', 'Reason', 'Call ID') AND \"Total Calls\" NOT IN ('Total Calls', '', 'Count', 'TOTAL') LIMIT 50", "purpose": "Filter out header and summary rows to examine actual data records and identify data quality issues in the core dataset" } } ```