{
    "action": "tool_call",
    "reasoning": "No evidence yet. Pull a small sample from each of the five monthly tables in one UNION query so I can see the Amount format and the data quality across all months.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT * FROM (SELECT 'Jan 2022' AS month, \"Company Name\", CAST(Founded AS VARCHAR) AS Founded, Location, Sector, Investor, Amount, Stage FROM raw.\"Indian Startups _ Funding  Investors Data January 2022\" LIMIT 4) UNION ALL SELECT * FROM (SELECT 'Feb 2022', \"Company Name\", CAST(Founded AS VARCHAR), Location, Sector, Investor, Amount, Stage FROM raw.\"Indian Startups _ Funding  Investors Data February 2022\" LIMIT 4) UNION ALL SELECT * FROM (SELECT 'Mar 2022', \"Company Name\", CAST(Founded AS VARCHAR), Location, Sector, Investor, Amount, Stage FROM raw.\"Indian Startups _ Funding  Investors Data March 2022\" LIMIT 4) UNION ALL SELECT * FROM (SELECT 'Apr 2022', \"Company Name\", CAST(Founded AS VARCHAR), Location, Sector, Investor, Amount, Stage FROM raw.\"Indian Startups _ Funding  Investors Data April 2022\" LIMIT 4) UNION ALL SELECT * FROM (SELECT 'May 2022', \"Company Name\", Founded, Location, Sector, Investor, Amount, Stage FROM raw.\"Indian Startups _ Funding  Investors Data May 2022\" LIMIT 4)",
        "purpose": "Representative sample: 4 rows from each monthly funding table",
        "source": "raw"
    }
}