{
    "action": "tool_call",
    "reasoning": "No evidence is in hand for the figures I was about to cite (company count, post-ChatGPT share of rows, average range, median close, volume skew). I'll compute them in one profiling query before answering.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT COUNT(*) AS n_rows, COUNT(DISTINCT company_name) AS n_companies, COUNT(DISTINCT stock_name) AS n_stocks, MIN(date) AS min_date, MAX(date) AS max_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(AVG((high - low) / NULLIF(close, 0)) * 100, 2) AS avg_range_pct, ROUND(MEDIAN(close), 2) AS median_close, ROUND(AVG(volume), 0) AS avg_volume, MEDIAN(volume) AS median_volume, MAX(volume) AS max_volume FROM raw.semi_conductor_se",
        "purpose": "Profile row counts, coverage, post-ChatGPT share, average daily range, median close and volume skew to ground the answer",
        "source": "raw"
    }
}