{
    "action": "tool_call",
    "reasoning": "My previous reply had no executed evidence behind it, so I'm re-grounding the funding trend by year. One query will give deal counts, deals with a numeric amount, median ticket and total, using the exact column names from the card.",
    "tool": "query_sql",
    "args": {
        "sql": "WITH t AS (SELECT TRY_CAST(regexp_extract(\"Date dd/mm/yyyy\", '(\\d{4})', 1) AS INTEGER) AS yr, TRY_CAST(REPLACE(\"Amount in USD\", ',', '') AS DOUBLE) AS amt FROM raw.startup_funding) SELECT yr, COUNT(*) AS deals, COUNT(amt) AS deals_with_amount, MEDIAN(amt) AS median_ticket_usd, SUM(amt) AS total_usd FROM t GROUP BY yr ORDER BY yr",
        "purpose": "Yearly deal count, disclosed-amount coverage, median ticket and total funding",
        "source": "raw"
    }
}