```json { "action": "tool_call", "reasoning": "The inspect_columns result shows null counts for all 14 columns, and all report nulls=0. This means no columns have missing values. However, I should verify this with a SQL query to compute the exact missing percentage for each column, as the question asks for percentages and VARCHAR columns might contain empty strings or other representations of missing data that wouldn't show as SQL NULLs.", "tool": "query_sql", "args": { "sql": "SELECT COUNT(*) as total_rows, COUNT(Day) as day_non_null, COUNT(\"Total Calls\") as total_calls_non_null, COUNT(\"AI Handled\") as ai_handled_non_null, COUNT(\"Human Handled\") as human_handled_non_null, COUNT(Voicemail) as voicemail_non_null, COUNT(\"AI Resolution %\") as ai_resolution_non_null, COUNT(\"Human %\") as human_non_null, COUNT(_unnamed_7) as unnamed_7_non_null, COUNT(_unnamed_8) as unnamed_8_non_null, COUNT(_unnamed_9) as unnamed_9_non_null, COUNT(_ingestion_timestamp) as ingestion_timestamp_non_null, COUNT(_batch_id) as batch_id_non_null, COUNT(_source_file) as source_file_non_null, COUNT(_source_system) as source_system_non_null FROM raw.callyeah_analytics_2026_07_23", "purpose": "Count non-null values for each column to calculate missing percentages", "source": "raw" } } ```