{
    "action": "tool_call",
    "reasoning": "Earlier lowest records were parse artifacts. Re-query across all five months using only cleanly formatted dollar amounts to get a trustworthy highest and lowest.",
    "tool": "query_sql",
    "args": {
        "sql": "WITH u AS (SELECT 'Jan 2022' AS month, \"Company Name\" AS company, Sector, Stage, Amount FROM raw.\"Indian Startups _ Funding  Investors Data January 2022\" UNION ALL SELECT 'Feb 2022', \"Company Name\", Sector, Stage, Amount FROM raw.\"Indian Startups _ Funding  Investors Data February 2022\" UNION ALL SELECT 'Mar 2022', \"Company Name\", Sector, Stage, Amount FROM raw.\"Indian Startups _ Funding  Investors Data March 2022\" UNION ALL SELECT 'Apr 2022', \"Company Name\", Sector, Stage, Amount FROM raw.\"Indian Startups _ Funding  Investors Data April 2022\" UNION ALL SELECT 'May 2022', \"Company Name\", Sector, Stage, Amount FROM raw.\"Indian Startups _ Funding  Investors Data May 2022\"), c AS (SELECT *, CAST(REPLACE(REPLACE(Amount,'$',''),',','') AS DOUBLE) AS usd FROM u WHERE regexp_matches(Amount, '^\\$[0-9]{1,3}(,[0-9]{3})+$')), r AS (SELECT *, row_number() OVER (ORDER BY usd DESC) AS hi, row_number() OVER (ORDER BY usd ASC) AS lo FROM c) SELECT CASE WHEN hi<=5 THEN 'highest' ELSE 'lowest' END AS side, month, company, Sector, Stage, Amount, usd FROM r WHERE hi<=5 OR lo<=5 ORDER BY side, usd DESC",
        "purpose": "Highest and lowest cleanly-formatted funding amounts across all five months",
        "source": "raw"
    }
}