{
    "action": "tool_call",
    "reasoning": "The dataset has temporal axes (YearNum 2001-2020, MonthNum, WeekNum) across both tables. To determine the overall trend, I'll query a gold table that aggregates by year to see row counts and measure trends over the full time range. The ittf_rankings_by_YearNum__yyyy table should show yearly totals for the main table.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT * FROM ittf_rankings_by_YearNum__yyyy ORDER BY YearNum__yyyy",
        "purpose": "Get yearly aggregation to see trend in row counts and measures over 2001-2020",
        "source": "gold"
    }
}