{
    "action": "tool_call",
    "reasoning": "The dataset has temporal axes (Date and Time columns). The gold table table_tennis_sept2022_by_Time__yyyy_mm_dd aggregates by date. I need to query it to see the row counts (match counts) over time to identify the trend. The evidence shows this table exists with row_count, but I need to see the actual daily breakdown to assess the trend.",
    "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 temporal trend",
        "source": "gold"
    }
}