{
    "action": "tool_call",
    "reasoning": "No evidence is available this turn, so I need to verify the duplicate claims with SQL. This query unions all five monthly tables and finds company names that appear more than once, with their months, amounts and stages.",
    "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,'?') || ' / ' || coalesce(s,'?'), ' | ') AS detail FROM allr WHERE c IS NOT NULL GROUP BY 1 HAVING COUNT(*) > 1 ORDER BY n_rows DESC, company",
        "purpose": "Find duplicate and repeated company names within and across months, with amount and stage",
        "source": "raw"
    }
}