{
    "action": "tool_call",
    "reasoning": "The dataset has multiple geographic dimensions. I've already seen that matches_1930_2022 has Host and Venue columns, and world_cup has Host. The fifa_ranking tables have team, team_code, and association (regional confederations). I need to understand the full geographic distribution. Let me start by examining the distribution of matches across venues and hosts, then look at the team distribution by association in the ranking tables.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT Venue, Host, COUNT(*) as match_count FROM raw.matches_1930_2022 GROUP BY Venue, Host ORDER BY match_count DESC LIMIT 50",
        "purpose": "Get distribution of matches across venues and host countries to understand geographic concentration",
        "source": "raw"
    }
}