{
    "action": "tool_call",
    "reasoning": "I have country medal counts, but need to compare against other potential categories (era, event_type, gender) to determine which shows the most meaningful variation. Let me get medal distributions across these other dimensions to make an informed comparison.",
    "tool": "query_sql",
    "purpose": "Get medal counts by era, event_type, and gender to compare category importance",
    "args": {
        "sql": "SELECT era, COUNT(*) as total_medals, SUM(CASE WHEN medal = 'Gold' THEN 1 ELSE 0 END) as gold_medals FROM raw.olympic_table_tennis_medals_1988_2024 GROUP BY era ORDER BY MIN(year)",
        "source": "raw"
    }
}