{
    "action": "tool_call",
    "reasoning": "Amount is VARCHAR and messy; profile its values across all months to find oddities before analysis.",
    "tool": "query_sql",
    "args": {
        "sql": "WITH u AS (SELECT 'Jan' m, \"Company Name\" c, Founded::VARCHAR f, Location l, Sector s, Amount a, Stage st FROM raw.\"Indian Startups _ Funding  Investors Data January 2022\" UNION ALL SELECT 'Feb', \"Company Name\", Founded::VARCHAR, Location, Sector, Amount, Stage FROM raw.\"Indian Startups _ Funding  Investors Data February 2022\" UNION ALL SELECT 'Mar', \"Company Name\", Founded::VARCHAR, Location, Sector, Amount, Stage FROM raw.\"Indian Startups _ Funding  Investors Data March 2022\" UNION ALL SELECT 'Apr', \"Company Name\", Founded::VARCHAR, Location, Sector, Amount, Stage FROM raw.\"Indian Startups _ Funding  Investors Data April 2022\" UNION ALL SELECT 'May', \"Company Name\", Founded, Location, Sector, Amount, Stage FROM raw.\"Indian Startups _ Funding  Investors Data May 2022\") SELECT a, COUNT(*) n FROM u GROUP BY a ORDER BY n DESC LIMIT 30",
        "purpose": "Profile Amount values across all months",
        "source": "raw"
    }
}