{
    "action": "tool_call",
    "reasoning": "My earlier reply was prose with numbers I have not backed by a query in this turn. I'll profile each website in one query to ground the segmentation.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT WEBSITE, COUNT(*) AS page_rows, MIN(YEAR) AS first_year, MAX(YEAR) AS last_year, SUM(\"PAGE VIEWS\") AS total_page_views, MEDIAN(\"PAGE VIEWS\") AS median_page_views, SUM(ENTRANCES) AS total_entrances, ROUND(AVG(\"BOUNCE RATE (%)\"),1) AS avg_bounce_pct, ROUND(AVG(\"EXIT RATE (%)\"),1) AS avg_exit_pct, ROUND(AVG(\"AVERAGE TIME ON PAGE (SECONDS)\"),1) AS avg_time_on_page_sec FROM raw.Website_Analytics GROUP BY WEBSITE ORDER BY total_page_views DESC",
        "purpose": "Per-website profile of scale, lifespan and engagement to test whether the records form natural segments",
        "source": "raw"
    }
}