{
    "action": "tool_call",
    "reasoning": "I have country medal counts already. To determine if country is truly the most important category, I should compare it against other key dimensions. Let me check how medals distribute across eras and event types to see which category shows the most meaningful variation and analytical value.",
    "tool": "query_sql",
    "purpose": "Get medal distribution across eras and event types to compare against country breakdown",
    "args": {
        "sql": "SELECT era, COUNT(*) as total_medals, SUM(CASE WHEN medal = 'Gold' THEN 1 ELSE 0 END) as gold_medals, SUM(CASE WHEN medal = 'Silver' THEN 1 ELSE 0 END) as silver_medals, SUM(CASE WHEN medal = 'Bronze' THEN 1 ELSE 0 END) as bronze_medals FROM raw.olympic_table_tennis_medals_1988_2024 GROUP BY era ORDER BY MIN(year)",
        "source": "raw"
    }
}