{
    "action": "tool_call",
    "reasoning": "No tool results are in evidence, so I can't repeat the earlier claims. I'll run a duplicate check across all five monthly tables: companies repeated within a month or across months.",
    "tool": "query_sql",
    "args": {
        "sql": "WITH allr AS (SELECT 'Jan' AS m, \"Company Name\" AS c, Amount AS a, Stage AS s FROM raw.\"Indian Startups _ Funding  Investors Data January 2022\" UNION ALL SELECT 'Feb', \"Company Name\", Amount, Stage FROM raw.\"Indian Startups _ Funding  Investors Data February 2022\" UNION ALL SELECT 'Mar', \"Company Name\", Amount, Stage FROM raw.\"Indian Startups _ Funding  Investors Data March 2022\" UNION ALL SELECT 'Apr', \"Company Name\", Amount, Stage FROM raw.\"Indian Startups _ Funding  Investors Data April 2022\" UNION ALL SELECT 'May', \"Company Name\", Amount, Stage 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(s,'null'), '; ' ORDER BY m) AS detail FROM allr WHERE c IS NOT NULL AND trim(c) <> '' GROUP BY 1 HAVING COUNT(*) > 1 ORDER BY n_rows DESC, company",
        "purpose": "Find companies appearing more than once, within or across monthly tables",
        "source": "raw"
    }
}