I need to find time-related columns in this dataset and analyze them for patterns. Let me start by searching for temporal columns across all tables. ```json { "action": "tool_call", "reasoning": "The previous query returned 0 rows, suggesting the query structure may have been incorrect. I need to find time-related columns in this dataset. Let me query the metadata to identify columns with temporal types or semantic roles.", "tool": "query_sql", "args": { "sql": "SELECT table_name, column_name, phys_type, semantic_role FROM meta.columns WHERE phys_type IN ('TIMESTAMP', 'DATE', 'TIMESTAMP WITH TIME ZONE') OR semantic_role LIKE '%time%' OR semantic_role LIKE '%date%' ORDER BY table_name, column_name LIMIT 50", "purpose": "Identify all temporal columns in the dataset to understand what time dimensions are available" } } ```