{
    "action": "tool_call",
    "reasoning": "The question asks for distribution statistics (min, max, mean, median, spread) for numeric columns. From step-0, I can see the columns and their types. The columns are all VARCHAR, but some contain numeric data that needs to be parsed: 'Days' (appears to contain day counts), 'Title_defenses' (appears to contain defense counts), and 'Recognition' (contains years). I need to write SQL to cast these VARCHAR columns to numeric types where appropriate and compute the requested statistics. Looking at step-1 sample data, I can see: Days has values like '2,566', '1,652' (with commas); Title_defenses has values like '–', 'def.', numbers; Recognition appears to have years. I'll write one query to profile all potentially numeric columns, handling the VARCHAR-to-numeric conversion with REPLACE to strip commas and handling non-numeric values.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT COUNT(*) as total_rows, COUNT(CASE WHEN Days NOT IN ('–', '−', '') AND Days NOT LIKE '%def%' THEN 1 END) as days_numeric_count, MIN(CASE WHEN Days NOT IN ('–', '−', '') AND Days NOT LIKE '%def%' THEN CAST(REPLACE(Days, ',', '') AS INTEGER) END) as days_min, MAX(CASE WHEN Days NOT IN ('–', '−', '') AND Days NOT LIKE '%def%' THEN CAST(REPLACE(Days, ',', '') AS INTEGER) END) as days_max, AVG(CASE WHEN Days NOT IN ('–', '−', '') AND Days NOT LIKE '%def%' THEN CAST(REPLACE(Days, ',', '') AS INTEGER) END) as days_mean, MEDIAN(CASE WHEN Days NOT IN ('–', '−', '') AND Days NOT LIKE '%def%' THEN CAST(REPLACE(Days, ',', '') AS INTEGER) END) as days_median, STDDEV(CASE WHEN Days NOT IN ('–', '−', '') AND Days NOT LIKE '%def%' THEN CAST(REPLACE(Days, ',', '') AS INTEGER) END) as days_stddev, COUNT(CASE WHEN Title_defenses NOT IN ('–', '−', '', '[') AND Title_defenses NOT LIKE '%def%' THEN 1 END) as defenses_numeric_count, MIN(CASE WHEN Title_defenses NOT IN ('–', '−', '', '[') AND Title_defenses NOT LIKE '%def%' THEN CAST(Title_defenses AS INTEGER) END) as defenses_min, MAX(CASE WHEN Title_defenses NOT IN ('–', '−', '', '[') AND Title_defenses NOT LIKE '%def%' THEN CAST(Title_defenses AS INTEGER) END) as defenses_max, AVG(CASE WHEN Title_defenses NOT IN ('–', '−', '', '[') AND Title_defenses NOT LIKE '%def%' THEN CAST(Title_defenses AS INTEGER) END) as defenses_mean, MEDIAN(CASE WHEN Title_defenses NOT IN ('–', '−', '', '[') AND Title_defenses NOT LIKE '%def%' THEN CAST(Title_defenses AS INTEGER) END) as defenses_median, STDDEV(CASE WHEN Title_defenses NOT IN ('–', '−', '', '[') AND Title_defenses NOT LIKE '%def%' THEN CAST(Title_defenses AS INTEGER) END) as defenses_stddev FROM raw.championsdataset",
        "purpose": "Compute distribution statistics (min, max, mean, median, standard deviation) for the numeric columns Days and Title_defenses, handling VARCHAR-to-numeric conversion and filtering out non-numeric placeholder values",
        "source": "raw"
    }
}