{
    "action": "tool_call",
    "reasoning": "The dataset has multiple geographic dimensions. I've already seen Host countries in matches and tournaments, Venue locations, team associations (confederations), and team names themselves. I need to systematically analyze the geographic distribution across these dimensions. Let me start by examining the distribution of matches across host countries with more detail than the earlier query, including total matches and temporal spread.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT Host, COUNT(*) as total_matches, MIN(Year) as first_year, MAX(Year) as last_year, COUNT(DISTINCT Year) as tournaments_hosted, COUNT(DISTINCT Venue) as unique_venues FROM raw.matches_1930_2022 GROUP BY Host ORDER BY total_matches DESC",
        "purpose": "Get comprehensive distribution of matches across host countries including venue counts",
        "source": "raw"
    }
}