{
    "action": "tool_call",
    "reasoning": "No query results are in evidence yet, so I need to actually run the duplicate check across the five monthly tables before answering.",
    "tool": "query_sql",
    "args": {
        "sql": "WITH u AS (SELECT 'Jan' AS month, \"Company Name\" AS company, Amount, Stage 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(company)) AS company, COUNT(*) AS n_rows, COUNT(DISTINCT month) AS n_months, string_agg(month || ': ' || COALESCE(Amount,'?') || ' / ' || COALESCE(Stage,'?'), ' | ') AS detail FROM u WHERE company IS NOT NULL GROUP BY 1 HAVING COUNT(*) > 1 ORDER BY n_rows DESC, company",
        "purpose": "Find companies appearing more than once across all five monthly tables (duplicates and repeats)",
        "source": "raw"
    }
}