{
    "action": "tool_call",
    "reasoning": "The evidence shows Age and Score are both VARCHAR measures with mixed/malformed values. To identify which is the 'most important numeric metric,' I need to see the actual data: what proportion of each column contains parseable numbers, their distributions, and which one is more reliably numeric. I'll query both columns together to compare their numeric content and find the highest/lowest parseable values in each.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT Name, Age, Score, TRY_CAST(Age AS DOUBLE) AS age_numeric, TRY_CAST(Score AS DOUBLE) AS score_numeric FROM raw.\"Dummy Data\" ORDER BY Name",
        "purpose": "Examine Age and Score values to determine which column contains more reliable numeric data, and identify the range of parseable numeric values in each"
    }
}