{
    "action": "tool_call",
    "reasoning": "The earlier draft cited figures that no query has backed yet, so I'll compute them in one query before answering: distinct companies, post-ChatGPT row count, median close and average daily range.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT COUNT(*) AS total_rows, COUNT(DISTINCT company_name) AS companies, COUNT(DISTINCT stock_name) AS tickers, MIN(date) AS first_date, MAX(date) AS last_date, SUM(CASE WHEN date >= DATE '2022-11-30' THEN 1 ELSE 0 END) AS rows_post_chatgpt, MEDIAN(close) AS median_close, AVG((high - low) / NULLIF(close, 0)) AS avg_daily_range_pct FROM raw.semi_conductor_se",
        "purpose": "Ground the dataset scope, the before/after split and baseline figures for the suggested analytical questions",
        "source": "raw"
    }
}