diff --git a/tests/filecheck/transforms/broken-jax-parsing.mlir b/tests/filecheck/transforms/broken-jax-parsing.mlir
new file mode 100644
index 0000000000..52b1cf5f88
--- /dev/null
+++ b/tests/filecheck/transforms/broken-jax-parsing.mlir
@@ -0,0 +1,20 @@
+// RUN: xdsl-opt %s -p jax-use-donated-arguments --split-input-file --verify-diagnostics | filecheck %s
+// other passes like convert-linalg-to-loops have the same problems
+
+#map = affine_map<(d0, d1, d2) -> (d0, d2)>
+#map1 = affine_map<(d0, d1, d2) -> (d2, d1)>
+#map2 = affine_map<(d0, d1, d2) -> (d0, d1)>
+module @jit_matmul attributes {mhlo.num_partitions = 1 : i32, mhlo.num_replicas = 1 : i32} {
+  func.func public @main(%arg0: tensor<2x3xf32> {mhlo.layout_mode = "default"}, %arg1: tensor<3x4xf32> {mhlo.layout_mode = "default"}, %arg2: tensor<2x4xf32> {mhlo.layout_mode = "default", tf.aliasing_output = 0 : i32}) -> (tensor<2x4xf32> {jax.result_info = "", mhlo.layout_mode = "default"}) {
+    %0 = tensor.empty() : tensor<2x4xf32>
+    %cst = arith.constant 0.000000e+00 : f32
+    %1 = linalg.fill ins(%cst : f32) outs(%0 : tensor<2x4xf32>) -> tensor<2x4xf32>
+    %2 = linalg.generic {indexing_maps = [#map, #map1, #map2], iterator_types = ["parallel", "parallel", "reduction"]} ins(%arg0, %arg1 : tensor<2x3xf32>, tensor<3x4xf32>) outs(%1 : tensor<2x4xf32>) {
+    ^bb0(%in: f32, %in_0: f32, %out: f32):
+      %3 = arith.mulf %in, %in_0 : f32
+      %4 = arith.addf %out, %3 : f32
+      linalg.yield %4 : f32
+    } -> tensor<2x4xf32>
+    return %2 : tensor<2x4xf32>
+  }
+}