{
    "action": "tool_call",
    "reasoning": "I have no query results in evidence yet, so I'll compute monthly deal counts and funding totals from raw data, parsing the messy VARCHAR date and amount columns.",
    "tool": "query_sql",
    "args": {
        "sql": "WITH p AS (SELECT regexp_extract(\"Date dd/mm/yyyy\", '([0-9]{1,2})/([0-9]{1,2})/([0-9]{4})', 2) AS m, regexp_extract(\"Date dd/mm/yyyy\", '([0-9]{1,2})/([0-9]{1,2})/([0-9]{4})', 3) AS y, TRY_CAST(regexp_replace(\"Amount in USD\", '[^0-9.]', '', 'g') AS DOUBLE) AS amt FROM raw.startup_funding) SELECT make_date(CAST(y AS INTEGER), CAST(m AS INTEGER), 1) AS month, COUNT(*) AS deals, COUNT(amt) AS deals_with_amount, SUM(amt) AS total_usd, MEDIAN(amt) AS median_usd FROM p WHERE y <> '' AND m <> '' GROUP BY 1 ORDER BY 1",
        "purpose": "Monthly deal counts and funding totals to assess trend over time",
        "source": "raw"
    }
}