{
    "action": "tool_call",
    "reasoning": "The dataset contains three numeric measures: Points, Previous Points, and Previous (previous rank). Points is the primary competitive metric - it determines current ranking position and represents accumulated performance. I need to find the records with the highest and lowest Points values to show the extremes of competitive achievement. I'll query both tables since they're independent and may have different extremes.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT 'ittf_rankings' AS source, Name, Assoc, Gender, Rank, Points, YearNum, MonthNum FROM raw.ittf_rankings WHERE Points = (SELECT MAX(Points) FROM raw.ittf_rankings) UNION ALL SELECT 'ittf_rankings' AS source, Name, Assoc, Gender, Rank, Points, YearNum, MonthNum FROM raw.ittf_rankings WHERE Points = (SELECT MIN(Points) FROM raw.ittf_rankings) UNION ALL SELECT 'ittf_rankings_women' AS source, Name, Assoc, Gender, Rank, Points, YearNum, MonthNum FROM raw.ittf_rankings_women WHERE Points = (SELECT MAX(Points) FROM raw.ittf_rankings_women) UNION ALL SELECT 'ittf_rankings_women' AS source, Name, Assoc, Gender, Rank, Points, YearNum, MonthNum FROM raw.ittf_rankings_women WHERE Points = (SELECT MIN(Points) FROM raw.ittf_rankings_women) ORDER BY source, Points DESC",
        "purpose": "Find the highest and lowest Points records across both ranking tables to show the extremes of the primary competitive metric",
        "source": "raw"
    }
}