{
    "action": "tool_call",
    "reasoning": "The earlier monthly result was truncated at 50 rows. Fetch the months after 2019-01 and any malformed or pre-2015 dates to complete the picture.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT regexp_extract(\"Date dd/mm/yyyy\", '(\\d{1,2})/(\\d{1,2})/(\\d{4})', 3) || '-' || lpad(regexp_extract(\"Date dd/mm/yyyy\", '(\\d{1,2})/(\\d{1,2})/(\\d{4})', 2), 2, '0') AS month, COUNT(*) AS deals, SUM(TRY_CAST(REPLACE(\"Amount in USD\", ',', '') AS DOUBLE))/1e6 AS total_usd_m FROM raw.startup_funding GROUP BY 1 HAVING month > '2019-01' OR month < '2015-01' OR month IS NULL OR month = '-' ORDER BY 1",
        "purpose": "See months beyond the truncated 50-row sample (after 2019-01) and any malformed dates",
        "source": "raw"
    }
}