{
    "action": "tool_call",
    "reasoning": "No tool results are in evidence this turn, so the numbers in my earlier draft are unverified. I'll run one profiling query over the raw table to ground the answer.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT COUNT(*) AS n_rows, COUNT(DISTINCT company_name) AS n_companies, COUNT(DISTINCT stock_name) AS n_tickers, MIN(date) AS min_date, MAX(date) AS max_date, MEDIAN(close) AS median_close, AVG(volume) AS avg_volume, MEDIAN(volume) AS median_volume, MAX(volume) AS max_volume, AVG((high-low)/NULLIF(close,0))*100 AS avg_range_pct, SUM(CASE WHEN date >= DATE '2022-11-30' THEN 1 ELSE 0 END) AS rows_post_chatgpt, SUM(CASE WHEN date >= DATE '2023-01-01' THEN 1 ELSE 0 END) AS rows_2023_on, SUM(CASE WHEN volume = 0 THEN 1 ELSE 0 END) AS zero_volume_rows FROM raw.semi_conductor_se",
        "purpose": "Profile the dataset to ground which analytical questions are most worth asking",
        "source": "raw"
    }
}