{
    "action": "tool_call",
    "reasoning": "Combine all five monthly tables and find company names that appear more than once, within or across months, with the amount and stage on each row so duplicates can be told apart from repeat rounds.",
    "tool": "query_sql",
    "args": {
        "sql": "WITH u AS (SELECT 'Jan' AS m, \"Company Name\" AS c, Amount AS a, Stage AS st, Investor AS i FROM raw.\"Indian Startups _ Funding  Investors Data January 2022\" UNION ALL SELECT 'Feb', \"Company Name\", Amount, Stage, Investor FROM raw.\"Indian Startups _ Funding  Investors Data February 2022\" UNION ALL SELECT 'Mar', \"Company Name\", Amount, Stage, Investor FROM raw.\"Indian Startups _ Funding  Investors Data March 2022\" UNION ALL SELECT 'Apr', \"Company Name\", Amount, Stage, Investor FROM raw.\"Indian Startups _ Funding  Investors Data April 2022\" UNION ALL SELECT 'May', \"Company Name\", Amount, Stage, Investor FROM raw.\"Indian Startups _ Funding  Investors Data May 2022\") SELECT lower(trim(c)) AS company, COUNT(*) AS n_rows, COUNT(DISTINCT m) AS n_months, string_agg(m || ':' || coalesce(a,'NULL') || ':' || coalesce(st,'NULL'), ' | ') AS detail FROM u WHERE c IS NOT NULL GROUP BY lower(trim(c)) HAVING COUNT(*) > 1 ORDER BY n_rows DESC, company LIMIT 50",
        "purpose": "Find duplicate company names within and across the five monthly tables",
        "source": "raw"
    }
}