{
    "action": "tool_call",
    "reasoning": "I have evidence showing country-level and price-range/rating breakdowns. To identify natural segmentation, I should examine the key dimensions that create meaningful groups. Let me check the distribution of restaurants by online delivery and table booking capabilities, as these are binary features that could create clear segments.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT \"Has Online delivery\", \"Has Table booking\", COUNT(*) as restaurant_count, ROUND(AVG(\"Aggregate rating\"), 2) as avg_rating, ROUND(AVG(\"Average Cost for two\"), 0) as avg_cost, ROUND(AVG(\"Votes\"), 0) as avg_votes FROM raw.\"Zomato Restaurant Dataset\" GROUP BY \"Has Online delivery\", \"Has Table booking\" ORDER BY restaurant_count DESC",
        "purpose": "Examine segmentation by service capabilities (online delivery and table booking) to identify natural groupings",
        "source": "raw"
    }
}