{
    "action": "tool_call",
    "reasoning": "I've already inspected the core numeric measures (team1_runs, team2_runs, team1_wickets, team2_wickets, win_by_runs, win_by_wickets) and found one invalid value in team2_wickets (12 wickets when max should be 10 in T20). Now I need to check the temporal columns (date, season) for format consistency and logical issues, and examine the text dimensions for inconsistencies.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT COUNT(*) as total_rows, COUNT(DISTINCT LENGTH(date)) as date_length_variants, MIN(date) as min_date, MAX(date) as max_date, COUNT(DISTINCT season) as season_count, MIN(season) as min_season, MAX(season) as max_season, SUM(CASE WHEN date NOT LIKE '__-__-____' THEN 1 ELSE 0 END) as date_format_issues, SUM(CASE WHEN TRY_CAST(SUBSTR(date, 7, 4) AS INTEGER) IS NULL THEN 1 ELSE 0 END) as date_year_invalid FROM raw.IPL_Matches_Data_2008_2026",
        "purpose": "Check temporal columns (date, season) for format consistency, invalid values, and logical range issues",
        "source": "raw"
    }
}