I need to identify if this dataset has a time dimension and then find notable spikes, dips, or breaks in the data over time. Let me start by checking what temporal columns exist in this dataset. ```json { "action": "tool_call", "reasoning": "I need to identify temporal columns across the dataset. The analytics.column_overview metadata table contains semantic_role information that should identify date/time columns. I'll query for columns with temporal semantic roles.", "tool": "query_sql", "args": { "sql": "SELECT table_name, column_name, phys_type, semantic_role FROM analytics.column_overview WHERE semantic_role IN ('date', 'datetime', 'timestamp', 'time') ORDER BY table_name, column_name", "purpose": "Identify all temporal columns in the dataset to understand the time dimensions available" } } ```