{
    "action": "tool_call",
    "reasoning": "I now see the table_correlations table structure. The correlation data is stored in matrix_json (a JSON array of arrays representing the correlation matrix) and columns_json (the column names). I need to parse these JSON fields to extract the strongest correlations. I'll query to unnest the matrix and find the highest absolute correlation values between different columns.",
    "tool": "query_sql",
    "args": {
        "sql": "WITH parsed AS (SELECT dataset_id, columns_json, matrix_json, json_array_length(columns_json) as n_cols FROM raw.table_correlations), correlations AS (SELECT p.dataset_id, json_extract_string(p.columns_json, '$[' || i.idx || ']') as col1, json_extract_string(p.columns_json, '$[' || j.idx || ']') as col2, CAST(json_extract_string(p.matrix_json, '$[' || i.idx || '][' || j.idx || ']') AS DOUBLE) as correlation FROM parsed p CROSS JOIN (SELECT unnest(generate_series(0, 50)) as idx) i CROSS JOIN (SELECT unnest(generate_series(0, 50)) as idx) j WHERE i.idx < p.n_cols AND j.idx < p.n_cols AND i.idx < j.idx) SELECT col1, col2, correlation, ABS(correlation) as abs_corr FROM correlations WHERE correlation IS NOT NULL ORDER BY abs_corr DESC LIMIT 50",
        "purpose": "Extract and rank the strongest correlations between columns from the correlation matrices stored in table_correlations",
        "source": "raw"
    }
}