{
    "action": "tool_call",
    "reasoning": "Evidence only covered part of the months; run a yearly rollup over all rows to confirm the overall trend and the tail. Dates may contain stray non-digit characters, so clean them before parsing, and use TRY_ functions to avoid errors.",
    "tool": "query_sql",
    "args": {
        "sql": "WITH d AS (SELECT TRY_STRPTIME(regexp_replace(\"Date dd/mm/yyyy\", '[^0-9/]', '', 'g'), '%d/%m/%Y') 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, SUM(amt) AS total_usd, MEDIAN(amt) AS median_usd, MIN(dt) AS first_date, MAX(dt) AS last_date FROM d GROUP BY 1 ORDER BY 1",
        "purpose": "Yearly rollup of deal counts and amounts across all months",
        "source": "raw"
    }
}