```json { "action": "tool_call", "reasoning": "The dataset has a temporal axis (Date: 6/10/2022..7/8/2022). I need to see the trend over time. The gold table table_tennis_sept2022_by_Time__yyyy_mm_dd aggregates by date and contains row_count, which will show the daily match volume. I'll query it to get the time series.", "tool": "query_sql", "args": { "sql": "SELECT Time__yyyy_mm_dd, row_count FROM table_tennis_sept2022_by_Time__yyyy_mm_dd ORDER BY Time__yyyy_mm_dd", "purpose": "Get daily match counts to identify the trend over the June-July 2022 period", "source": "gold" } } ```