{
    "action": "tool_call",
    "reasoning": "My previous answer wasn't parsed, and I can't see its supporting evidence here. I'll re-run one yearly query so the final answer rests on a result I can cite: deal count, disclosed-amount count, total and median by year.",
    "tool": "query_sql",
    "args": {
        "sql": "WITH d AS (SELECT TRY_CAST(strptime(regexp_replace(\"Date dd/mm/yyyy\", '[^0-9/]', '', 'g'), '%d/%m/%Y') AS DATE) AS dt, TRY_CAST(REPLACE(REPLACE(\"Amount in USD\", ',', ''), ' ', '') AS DOUBLE) AS amt FROM raw.startup_funding) SELECT date_part('year', dt) AS yr, COUNT(*) AS deals, COUNT(amt) AS deals_with_amount, ROUND(SUM(amt)/1e6, 1) AS total_usd_m, ROUND(MEDIAN(amt)/1e6, 2) AS median_usd_m FROM d WHERE dt IS NOT NULL GROUP BY 1 ORDER BY 1",
        "purpose": "Yearly deal count, disclosed-amount count, total and median ticket size to judge whether funding is accelerating or slowing",
        "source": "raw"
    }
}