{
    "action": "tool_call",
    "reasoning": "My earlier draft cited stage counts that I hadn't verified with a query. I'll compute the stage distribution across all five monthly tables so the segmentation answer rests on executed results.",
    "tool": "query_sql",
    "args": {
        "sql": "WITH u 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 records FROM u GROUP BY 1 ORDER BY records DESC",
        "purpose": "Stage distribution across all five monthly tables to ground the segmentation answer",
        "source": "raw"
    }
}