{
    "action": "tool_call",
    "reasoning": "The question asks for correlations between columns. I should start by examining the numeric columns to compute correlation coefficients. From the card, the numeric columns are: Age, Fare, SibSp, Parch, Pclass, Survived, and PassengerId. I'll write a SQL query to calculate pairwise correlations between the meaningful numeric columns (excluding PassengerId which is just an ID). I'll use DuckDB's CORR() function to compute Pearson correlation coefficients.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT CORR(Age, Fare) as age_fare_corr, CORR(Age, SibSp) as age_sibsp_corr, CORR(Age, Parch) as age_parch_corr, CORR(Age, Pclass) as age_pclass_corr, CORR(Age, Survived) as age_survived_corr, CORR(Fare, SibSp) as fare_sibsp_corr, CORR(Fare, Parch) as fare_parch_corr, CORR(Fare, Pclass) as fare_pclass_corr, CORR(Fare, Survived) as fare_survived_corr, CORR(SibSp, Parch) as sibsp_parch_corr, CORR(SibSp, Pclass) as sibsp_pclass_corr, CORR(SibSp, Survived) as sibsp_survived_corr, CORR(Parch, Pclass) as parch_pclass_corr, CORR(Parch, Survived) as parch_survived_corr, CORR(Pclass, Survived) as pclass_survived_corr FROM raw.titanic",
        "purpose": "Calculate pairwise Pearson correlations between all numeric columns to identify the strongest relationships",
        "source": "raw"
    }
}