{
    "action": "tool_call",
    "reasoning": "My earlier draft cited numbers (152 companies, 99,984 post-ChatGPT rows, median close, average volume) that aren't in the evidence, so I'm running one profile query to ground them 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_tickers, 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_since_chatgpt, MEDIAN(close) AS median_close, AVG(volume) AS avg_volume, AVG((high - low) / NULLIF(close, 0)) AS avg_range_pct FROM raw.semi_conductor_se",
        "purpose": "Profile the dataset: size, coverage, date range, post-ChatGPT sample, typical price, volume and range",
        "source": "raw"
    }
}