{
    "action": "tool_call",
    "reasoning": "The evidence from earlier steps is not available to me now, so I can't cite those numbers. I'll re-run one profile query on the amount column to ground the answer: parsable rate, median, mean, total, and the count and share of deals of $100M or more.",
    "tool": "query_sql",
    "args": {
        "sql": "WITH a AS (SELECT \"Sr No\" AS id, TRY_CAST(REPLACE(REPLACE(\"Amount in USD\", ',', ''), ' ', '') AS DOUBLE) AS amt FROM raw.startup_funding) SELECT COUNT(*) AS total_rows, COUNT(amt) AS valued_rows, COUNT(*) - COUNT(amt) AS missing_rows, MEDIAN(amt) AS median_amt, AVG(amt) AS mean_amt, SUM(amt) AS total_amt, MAX(amt) AS max_amt, COUNT(*) FILTER (WHERE amt >= 100000000) AS deals_100m_plus, SUM(amt) FILTER (WHERE amt >= 100000000) / SUM(amt) AS share_of_dollars_100m_plus, MAX(amt) / SUM(amt) AS top_deal_share FROM a",
        "purpose": "Profile deal amount skew: coverage, median vs mean, concentration in mega-deals",
        "source": "raw"
    }
}