{
    "action": "tool_call",
    "reasoning": "Now I have the correct column names. The table_correlations table stores correlation matrices in matrix_json (as JSON arrays) with the column names in columns_json. I need to parse these JSON structures to extract individual correlation coefficients and identify the strongest correlations. I'll write SQL to unnest the matrix and find the top correlations, excluding self-correlations (diagonal = 1.0).",
    "tool": "query_sql",
    "purpose": "Extract and rank the strongest correlations from the correlation matrices",
    "sql": "WITH parsed AS (SELECT dataset_id, tables_catalog_id, method, columns_json::JSON AS cols, matrix_json::JSON AS matrix FROM raw.table_correlations), expanded AS (SELECT dataset_id, tables_catalog_id, method, cols, matrix, i.idx AS row_idx, j.idx AS col_idx, matrix[i.idx][j.idx]::DOUBLE AS corr_value FROM parsed, LATERAL (SELECT UNNEST(GENERATE_SERIES(0, JSON_ARRAY_LENGTH(matrix) - 1)) AS idx) i(idx), LATERAL (SELECT UNNEST(GENERATE_SERIES(0, JSON_ARRAY_LENGTH(matrix) - 1)) AS idx) j(idx) WHERE i.idx < j.idx AND matrix[i.idx][j.idx] IS NOT NULL) SELECT cols[row_idx]::VARCHAR AS column_1, cols[col_idx]::VARCHAR AS column_2, corr_value AS correlation, method, dataset_id FROM expanded WHERE ABS(corr_value) > 0.5 ORDER BY ABS(corr_value) DESC LIMIT 50"
}