I have the row and column counts from the evidence, and I can see there are 51 tables with 2,061,290 total rows. Now I need to determine what time period the dataset covers by examining temporal columns. ```json { "action": "tool_call", "reasoning": "I need to find temporal columns across all tables to determine the time period coverage. I'll query the column metadata to identify date/timestamp columns and their min/max values.", "tool": "query_sql", "args": { "sql": "SELECT table_name, column_name, phys_type, min_value, max_value FROM analytics.column_overview WHERE phys_type IN ('TIMESTAMP', 'DATE', 'TIMESTAMP WITH TIME ZONE') AND min_value IS NOT NULL ORDER BY min_value LIMIT 50", "purpose": "Find temporal columns with their date ranges to determine dataset time coverage" } } ```