{
    "action": "tool_call",
    "reasoning": "No evidence for the distinct counts is available to me, so I will run one query that computes them for all five monthly tables rather than restate unverified numbers.",
    "tool": "query_sql",
    "args": {
        "source": "raw",
        "purpose": "Distinct counts of Company Name, Location, Sector, Stage and Investor per monthly table",
        "sql": "SELECT 'Jan' AS month, COUNT(*) AS row_count, COUNT(DISTINCT \"Company Name\") AS companies, COUNT(DISTINCT \"Location\") AS locations, COUNT(DISTINCT \"Sector\") AS sectors, COUNT(DISTINCT \"Stage\") AS stages, COUNT(DISTINCT \"Investor\") AS investors FROM raw.\"Indian Startups _ Funding  Investors Data January 2022\" UNION ALL SELECT 'Feb', COUNT(*), COUNT(DISTINCT \"Company Name\"), COUNT(DISTINCT \"Location\"), COUNT(DISTINCT \"Sector\"), COUNT(DISTINCT \"Stage\"), COUNT(DISTINCT \"Investor\") FROM raw.\"Indian Startups _ Funding  Investors Data February 2022\" UNION ALL SELECT 'Mar', COUNT(*), COUNT(DISTINCT \"Company Name\"), COUNT(DISTINCT \"Location\"), COUNT(DISTINCT \"Sector\"), COUNT(DISTINCT \"Stage\"), COUNT(DISTINCT \"Investor\") FROM raw.\"Indian Startups _ Funding  Investors Data March 2022\" UNION ALL SELECT 'Apr', COUNT(*), COUNT(DISTINCT \"Company Name\"), COUNT(DISTINCT \"Location\"), COUNT(DISTINCT \"Sector\"), COUNT(DISTINCT \"Stage\"), COUNT(DISTINCT \"Investor\") FROM raw.\"Indian Startups _ Funding  Investors Data April 2022\" UNION ALL SELECT 'May', COUNT(*), COUNT(DISTINCT \"Company Name\"), COUNT(DISTINCT \"Location\"), COUNT(DISTINCT \"Sector\"), COUNT(DISTINCT \"Stage\"), COUNT(DISTINCT \"Investor\") FROM raw.\"Indian Startups _ Funding  Investors Data May 2022\""
    }
}