I need to find time-based patterns in this dataset. From the evidence, I can see many tables have temporal columns (completed_at, started_at, created_at, etc.), but my initial query failed. Let me identify which tables have the most temporal activity and examine them for spikes, dips, or breaks. First, let me check the gold tables to see if there are pre-aggregated time series: {"action": "tool_call", "reasoning": "Check if there are pre-aggregated time series in gold tables that would show temporal patterns without needing to query raw tables", "tool": "get_gold_tables", "args": {}}