{
    "action": "tool_call",
    "reasoning": "I have continent and country-level distributions. Now I need to get state/region breakdowns within countries to show the full geographic hierarchy. The states table uses state_id as the key (not 'id'), and I should join properly to show sub-country distribution. Let me get the top states by brewer and place counts.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT s.State, c.name as country, COUNT(DISTINCT b.id) as brewers, COUNT(DISTINCT p.id) as places FROM raw.states s LEFT JOIN raw.countries c ON s.country_id = c.id LEFT JOIN raw.brewers b ON s.state_id = b.state_id LEFT JOIN raw.places p ON s.state_id = p.state_id GROUP BY s.State, c.name HAVING COUNT(DISTINCT b.id) > 0 OR COUNT(DISTINCT p.id) > 0 ORDER BY brewers DESC, places DESC LIMIT 30",
        "purpose": "Get state/region level geographic distribution to show sub-country breakdown",
        "source": "raw"
    }
}