```json { "action": "tool_call", "reasoning": "To identify the most interesting analytical questions, I need to understand the dataset's temporal coverage, game types, and scoring patterns. The gold tables show aggregations by GameStatus and Season, which will reveal what types of games are covered (regular season, playoffs, preseason) and the time span. This will help me identify questions that leverage the dataset's unique strengths.", "tool": "query_sql", "args": { "sql": "SELECT GameStatus, COUNT(*) as game_count, MIN(Season) as first_season, MAX(Season) as last_season FROM raw.2010_2026_scores WHERE GameStatus != 'TBD' GROUP BY GameStatus ORDER BY game_count DESC", "purpose": "Understand the distribution of game types (regular season, playoffs, preseason) and temporal coverage to identify what analytical questions are most viable", "source": "raw" } } ```