{
    "action": "tool_call",
    "reasoning": "The earlier answer was not grounded in evidence I can see, so I am re-running the cross-month company match. It unions the five monthly tables and lists companies appearing more than once, with their month, stage and raw amount text.",
    "tool": "query_sql",
    "args": {
        "sql": "WITH u AS (SELECT 'Jan' AS month, \"Company Name\" AS company, Stage, Amount FROM raw.\"Indian Startups _ Funding  Investors Data January 2022\" UNION ALL SELECT 'Feb', \"Company Name\", Stage, Amount FROM raw.\"Indian Startups _ Funding  Investors Data February 2022\" UNION ALL SELECT 'Mar', \"Company Name\", Stage, Amount FROM raw.\"Indian Startups _ Funding  Investors Data March 2022\" UNION ALL SELECT 'Apr', \"Company Name\", Stage, Amount FROM raw.\"Indian Startups _ Funding  Investors Data April 2022\" UNION ALL SELECT 'May', \"Company Name\", Stage, Amount FROM raw.\"Indian Startups _ Funding  Investors Data May 2022\") SELECT company, month, Stage, Amount FROM u WHERE company IN (SELECT company FROM u WHERE company IS NOT NULL GROUP BY company HAVING COUNT(*) > 1) ORDER BY company, CASE month WHEN 'Jan' THEN 1 WHEN 'Feb' THEN 2 WHEN 'Mar' THEN 3 WHEN 'Apr' THEN 4 ELSE 5 END",
        "purpose": "List companies that appear more than once across the monthly tables, with stage and raw amount text",
        "source": "raw"
    }
}