{
    "action": "tool_call",
    "reasoning": "No evidence has been gathered yet this turn, so the stage counts in my earlier draft are unverified. I'll compute the stage distribution across all five monthly tables in one UNION ALL query.",
    "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 FROM allr GROUP BY 1 ORDER BY n DESC LIMIT 50",
        "purpose": "Distribution of funding stage values across all five monthly tables to assess segmentation and label cleanliness",
        "source": "raw"
    }
}