{
    "action": "tool_call",
    "reasoning": "I've found an active player born in 2014 (KANZA Kuka Joyce from COD), which is highly unusual for competitive table tennis. To determine if this is truly the most surprising finding, I should check: 1) How many other extremely young players exist, 2) What the typical age distribution looks like for active players, and 3) Whether there are other anomalies (like the 230 players with birth year 0). Let me examine the age distribution of active players to contextualize how exceptional this 2014 birth year is.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT CASE WHEN \"Birth year\" = 0 THEN '0 (missing)' WHEN \"Birth year\" < 1950 THEN 'Pre-1950' WHEN \"Birth year\" BETWEEN 1950 AND 1969 THEN '1950-1969' WHEN \"Birth year\" BETWEEN 1970 AND 1989 THEN '1970-1989' WHEN \"Birth year\" BETWEEN 1990 AND 1999 THEN '1990-1999' WHEN \"Birth year\" BETWEEN 2000 AND 2009 THEN '2000-2009' WHEN \"Birth year\" >= 2010 THEN '2010+' END AS age_cohort, COUNT(*) AS player_count, ROUND(100.0 * COUNT(*) / SUM(COUNT(*)) OVER (), 2) AS pct FROM raw.ittf_player_info WHERE Activity = 'Active' GROUP BY age_cohort ORDER BY MIN(\"Birth year\")",
        "purpose": "Examine the age distribution of active players to understand how exceptional the 2014 birth year is in context",
        "source": "raw"
    }
}