{
    "action": "tool_call",
    "reasoning": "No question text was given beyond the retry, so I'll start by profiling the dataset: deal counts by year and top industry verticals, which are key segmentation candidates. The date column is VARCHAR with odd characters, so I extract the 4-digit year with a regex.",
    "tool": "query_sql",
    "args": {
        "sql": "WITH t AS (SELECT TRY_CAST(regexp_extract(\"Date dd/mm/yyyy\", '(\\d{4})\\s*$', 1) AS INT) AS yr, \"Industry Vertical\" AS iv FROM raw.startup_funding) SELECT 'year' AS dim, CAST(yr AS VARCHAR) AS val, COUNT(*) AS deals FROM t GROUP BY yr UNION ALL SELECT * FROM (SELECT 'vertical' AS dim, COALESCE(iv, '(null)') AS val, COUNT(*) AS deals FROM t GROUP BY iv ORDER BY 3 DESC LIMIT 12) ORDER BY dim, deals DESC",
        "purpose": "Check year distribution and top industry verticals as segmentation candidates",
        "source": "raw"
    }
}