{
    "action": "tool_call",
    "reasoning": "No query results are visible in evidence, so the stage counts in my earlier draft are unverified. I'll compute the stage distribution across all five monthly tables with one UNION ALL query before answering.",
    "tool": "query_sql",
    "args": {
        "sql": "WITH allr AS (SELECT 'Jan' AS month, Stage FROM raw.\"Indian Startups _ Funding  Investors Data January 2022\" UNION ALL SELECT 'Feb', Stage FROM raw.\"Indian Startups _ Funding  Investors Data February 2022\" UNION ALL SELECT 'Mar', Stage FROM raw.\"Indian Startups _ Funding  Investors Data March 2022\" UNION ALL SELECT 'Apr', Stage FROM raw.\"Indian Startups _ Funding  Investors Data April 2022\" UNION ALL SELECT 'May', Stage FROM raw.\"Indian Startups _ Funding  Investors Data May 2022\") SELECT COALESCE(NULLIF(TRIM(Stage), ''), '(blank)') AS stage, COUNT(*) AS n_rows FROM allr GROUP BY 1 ORDER BY n_rows DESC LIMIT 40",
        "purpose": "Stage distribution across all five months to assess it as a segmentation dimension",
        "source": "raw"
    }
}