I need to identify if this dataset has a time dimension and then analyze it for spikes, dips, or breaks. Let me start by finding temporal columns. ```json { "action": "tool_call", "reasoning": "The previous queries returned 0 rows, suggesting they may have been looking for temporal columns but didn't find them with those specific criteria. I need to search for date/time columns across all tables. Let me query the column metadata to find columns with temporal types (DATE, TIMESTAMP, DATETIME, etc.) or semantic roles indicating time.", "tool": "query_sql", "args": { "sql": "SELECT table_name, column_name, phys_type, semantic_role FROM meta.columns WHERE phys_type IN ('DATE', 'TIMESTAMP', 'TIMESTAMP WITH TIME ZONE', 'DATETIME', 'TIME') OR semantic_role LIKE '%time%' OR semantic_role LIKE '%date%' OR column_name LIKE '%_at' OR column_name LIKE '%date%' ORDER BY table_name, column_name", "purpose": "Find all temporal columns in the dataset to identify the time dimension" } } ```