{
    "action": "tool_call",
    "reasoning": "My earlier draft cited counts that I have no tool results for in this turn, so I'm discarding it. I'll compute the stage breakdown across all five monthly tables with one UNION ALL query before making any claim.",
    "tool": "query_sql",
    "args": {
        "sql": "WITH allr 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 n FROM allr GROUP BY 1 ORDER BY n DESC LIMIT 50",
        "purpose": "Stage distribution across all five monthly tables, to check which segments are the largest and which values need cleaning",
        "source": "raw"
    }
}