{
    "action": "tool_call",
    "reasoning": "My previous reply was not valid JSON. I'm re-issuing it as one valid query: find odd Amount formats (anything that isn't a plain $ and digits value) and implausible Founded years across the April and March tables.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT 'Apr' AS m, \"Company Name\" AS company, Founded, Amount, Stage FROM raw.\"Indian Startups _ Funding  Investors Data April 2022\" WHERE Founded < 1950 OR Amount IS NULL OR NOT regexp_matches(Amount, '^\\$[0-9,]+$') UNION ALL SELECT 'Mar', \"Company Name\", Founded, Amount, Stage FROM raw.\"Indian Startups _ Funding  Investors Data March 2022\" WHERE Founded < 1950 OR Amount IS NULL OR NOT regexp_matches(Amount, '^\\$[0-9,]+$')",
        "purpose": "Inspect odd Amount formats and implausible Founded years in April and March tables",
        "source": "raw"
    }
}