{
    "action": "tool_call",
    "reasoning": "My previous draft cited numbers I can't see in the current evidence, so I need to re-ground them. I'll start with the stage distribution across all five monthly tables, since stage was the main grouping I proposed.",
    "tool": "query_sql",
    "args": {
        "sql": "WITH u AS (SELECT Stage FROM raw.\"Indian Startups _ Funding  Investors Data January 2022\" UNION ALL SELECT Stage FROM raw.\"Indian Startups _ Funding  Investors Data February 2022\" UNION ALL SELECT Stage FROM raw.\"Indian Startups _ Funding  Investors Data March 2022\" UNION ALL SELECT Stage FROM raw.\"Indian Startups _ Funding  Investors Data April 2022\" UNION ALL SELECT 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 LIMIT 50",
        "purpose": "Stage distribution across all five monthly tables to test stage as a segmentation",
        "source": "raw"
    }
}