{
    "action": "tool_call",
    "reasoning": "No query results are visible in my evidence, so I should not restate the earlier numbers without checking them. I'll run one query across all five monthly tables that parses Amount and lists the highest and lowest records.",
    "tool": "query_sql",
    "args": {
        "sql": "WITH u AS (SELECT 'Jan' AS month, \"Company Name\" AS company, Stage AS stage, Amount AS amount_raw FROM raw.\"Indian Startups _ Funding  Investors Data January 2022\" UNION ALL SELECT 'Feb', \"Company Name\", Stage, Amount FROM raw.\"Indian Startups _ Funding  Investors Data February 2022\" UNION ALL SELECT 'Mar', \"Company Name\", Stage, Amount FROM raw.\"Indian Startups _ Funding  Investors Data March 2022\" UNION ALL SELECT 'Apr', \"Company Name\", Stage, Amount FROM raw.\"Indian Startups _ Funding  Investors Data April 2022\" UNION ALL SELECT 'May', \"Company Name\", Stage, Amount FROM raw.\"Indian Startups _ Funding  Investors Data May 2022\"), p AS (SELECT month, company, stage, amount_raw, TRY_CAST(REPLACE(REPLACE(amount_raw, '$', ''), ',', '') AS DOUBLE) AS usd FROM u) SELECT * FROM (SELECT 'highest' AS side, * FROM p WHERE usd IS NOT NULL ORDER BY usd DESC LIMIT 5) UNION ALL SELECT * FROM (SELECT 'lowest' AS side, * FROM p WHERE usd >= 1000 ORDER BY usd ASC LIMIT 5)",
        "purpose": "Verify highest and lowest parsed Amount values across all five monthly tables",
        "source": "raw"
    }
}