{
    "action": "tool_call",
    "reasoning": "My previous reply cited numbers with no tool results behind it, so I'm discarding it. I'll start by looking at the raw Amount formats across all five tables so I can clean them properly.",
    "tool": "query_sql",
    "args": {
        "sql": "WITH u AS (SELECT 'Jan' AS m, \"Company Name\" AS company, Sector, Stage, Amount FROM raw.\"Indian Startups _ Funding  Investors Data January 2022\" UNION ALL SELECT 'Feb', \"Company Name\", Sector, Stage, Amount FROM raw.\"Indian Startups _ Funding  Investors Data February 2022\" UNION ALL SELECT 'Mar', \"Company Name\", Sector, Stage, Amount FROM raw.\"Indian Startups _ Funding  Investors Data March 2022\" UNION ALL SELECT 'Apr', \"Company Name\", Sector, Stage, Amount FROM raw.\"Indian Startups _ Funding  Investors Data April 2022\" UNION ALL SELECT 'May', \"Company Name\", Sector, Stage, Amount FROM raw.\"Indian Startups _ Funding  Investors Data May 2022\") SELECT Amount, COUNT(*) AS n FROM u GROUP BY Amount ORDER BY n DESC, Amount LIMIT 50",
        "purpose": "Inspect the distinct Amount text formats and how often each appears",
        "source": "raw"
    }
}