{
    "action": "tool_call",
    "reasoning": "The dataset has a clear time dimension (Season, Week, GameDate). I've already seen season-level scoring trends showing 2020 had notably higher average scores (49.49 vs ~43-45 for other years) and 2026 is incomplete. Now I need to look at finer temporal patterns - specifically checking for spikes/dips within seasons by examining week-by-week patterns and identifying any anomalous periods. I'll query for the highest and lowest scoring weeks across all seasons to find notable spikes and dips.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT Season, Week, COUNT(*) as games, AVG(AwayScore + HomeScore) as avg_total_score FROM \"raw\".\"2010_2026_scores\" WHERE AwayScore IS NOT NULL AND HomeScore IS NOT NULL GROUP BY Season, Week HAVING COUNT(*) >= 10 ORDER BY avg_total_score DESC LIMIT 20",
        "purpose": "Find the highest-scoring weeks across all seasons to identify notable spikes",
        "source": "raw"
    }
}