{
    "action": "tool_call",
    "reasoning": "No evidence is available yet, so the earlier numbers are unverified. I'll compute the stage distribution across all five tables in one UNION query.",
    "tool": "query_sql",
    "args": {
        "sql": "WITH allr AS (SELECT Stage, Location, Sector, Amount, 'Jan' AS m FROM raw.\"Indian Startups _ Funding  Investors Data January 2022\" UNION ALL SELECT Stage, Location, Sector, Amount, 'Feb' FROM raw.\"Indian Startups _ Funding  Investors Data February 2022\" UNION ALL SELECT Stage, Location, Sector, Amount, 'Mar' FROM raw.\"Indian Startups _ Funding  Investors Data March 2022\" UNION ALL SELECT Stage, Location, Sector, Amount, 'Apr' FROM raw.\"Indian Startups _ Funding  Investors Data April 2022\" UNION ALL SELECT Stage, Location, Sector, Amount, 'May' 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 30",
        "purpose": "Stage distribution across all five monthly tables to check which segments exist and how messy the values are",
        "source": "raw"
    }
}