{
    "action": "tool_call",
    "reasoning": "The ip_geo table contains geographic data with 207 rows. I've already seen that 88 IPs have country information (14 distinct: 13 US, 1 India). Now I need to examine the city-level distribution to provide a complete picture of geographic distribution. I'll query the city breakdown to show how the data is distributed at a more granular level.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT city, COUNT(*) as ip_count, ROUND(COUNT(*) * 100.0 / SUM(COUNT(*)) OVER (), 2) as percentage FROM raw.ip_geo WHERE city IS NOT NULL GROUP BY city ORDER BY ip_count DESC",
        "purpose": "Get city-level distribution of IPs to show geographic granularity",
        "source": "raw"
    }
}