{
    "action": "tool_call",
    "reasoning": "I have the country-level distribution, which shows that Country Code 1 dominates with over 90% of the data. I will now query the top cities to provide a more granular view of the geographic distribution.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT City, COUNT(*) as restaurant_count, ROUND(COUNT(*) * 100.0 / (SELECT COUNT(*) FROM \"raw\".\"Zomato Restaurant Dataset\"), 2) as percentage_of_total FROM \"raw\".\"Zomato Restaurant Dataset\" GROUP BY City ORDER BY restaurant_count DESC LIMIT 15",
        "purpose": "Find the top cities by restaurant count to show granular geographic distribution",
        "source": "raw"
    }
}