{
    "action": "tool_call",
    "reasoning": "I can't see any executed results in my evidence, so I need to re-ground the claims before answering. First I'll count how often company names repeat across the five monthly tables and which months they appear in.",
    "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 company, COUNT(*) AS appearances, string_agg(month || ': ' || COALESCE(Amount,'null') || ' / ' || COALESCE(Stage,'null'), ' | ') AS detail FROM u WHERE company IS NOT NULL GROUP BY company HAVING COUNT(*) > 1 ORDER BY appearances DESC, company",
        "purpose": "Find companies recurring across monthly tables and compare their amounts and stages",
        "source": "raw"
    }
}