{
    "action": "tool_call",
    "reasoning": "My previous reply cited figures without any tool result behind it, so I am re-running the profiling query to ground them. One SELECT covers row count, distinct companies and tickers, date range, the share of rows after 2022-11-30, the average daily range, and the median close.",
    "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, ROUND(100.0 * SUM(CASE WHEN date >= DATE '2022-11-30' THEN 1 ELSE 0 END) / COUNT(*), 1) AS pct_post_chatgpt, ROUND(100 * AVG((high - low) / NULLIF(close, 0)), 2) AS avg_daily_range_pct, ROUND(MEDIAN(close), 2) AS median_close FROM raw.semi_conductor_se",
        "purpose": "Ground the dataset profile (size, coverage, pre/post-AI split, volatility baseline) before suggesting analytical questions",
        "source": "raw"
    }
}