diff --git a/tensorflow/compiler/mlir/lite/BUILD b/tensorflow/compiler/mlir/lite/BUILD
index 301e904511ba0d..90eb687c4de63e 100644
--- a/tensorflow/compiler/mlir/lite/BUILD
+++ b/tensorflow/compiler/mlir/lite/BUILD
@@ -1334,6 +1334,8 @@ cc_library(
         "//tensorflow/lite/tools/optimize:quantize_weights",
         "//tensorflow/lite/tools/optimize:reduced_precision_support",
         "//tensorflow/tsl/platform:statusor",
+        "@com_google_absl//absl/status",
+        "@com_google_absl//absl/strings",
         "@com_google_absl//absl/types:span",
         "@llvm-project//llvm:Support",
         "@llvm-project//mlir:FuncDialect",
diff --git a/tensorflow/compiler/mlir/lite/tf_tfl_translate.cc b/tensorflow/compiler/mlir/lite/tf_tfl_translate.cc
index ffd9dbca0fac29..70793925485481 100644
--- a/tensorflow/compiler/mlir/lite/tf_tfl_translate.cc
+++ b/tensorflow/compiler/mlir/lite/tf_tfl_translate.cc
@@ -323,7 +323,10 @@ int main(int argc, char **argv) {
   auto status = tensorflow::ConvertTFExecutorToTFLOrFlatbuffer(
       module.value().get(), output_mlir, toco_flags, pass_config, tags,
       /*saved_model_dir=*/"", session, &result, serialize_stablehlo_ops);
-  if (!status.ok()) return kTrFailure;
+  if (!status.ok()) {
+    llvm::errs() << status.message() << '\n';
+    return kTrFailure;
+  }
 
   std::string error_msg;
   auto output = mlir::openOutputFile(output_file_name, &error_msg);
diff --git a/tensorflow/compiler/mlir/lite/tf_to_tfl_flatbuffer.cc b/tensorflow/compiler/mlir/lite/tf_to_tfl_flatbuffer.cc
index 3b93694f3286f0..59e5bbf724f592 100644
--- a/tensorflow/compiler/mlir/lite/tf_to_tfl_flatbuffer.cc
+++ b/tensorflow/compiler/mlir/lite/tf_to_tfl_flatbuffer.cc
@@ -23,6 +23,8 @@ limitations under the License.
 #include <utility>
 #include <vector>
 
+#include "absl/status/status.h"
+#include "absl/strings/str_cat.h"
 #include "absl/types/span.h"
 #include "llvm/Support/Casting.h"
 #include "llvm/Support/raw_ostream.h"
@@ -296,7 +298,12 @@ Status ConvertTFExecutorToStablehloFlatbuffer(
   options.op_or_arg_name_mapper = &op_or_arg_name_mapper;
   options.metadata[tflite::kModelUseStablehloTensorKey] = "true";
   if (!tflite::MlirToFlatBufferTranslateFunction(module, options, result)) {
-    return statusHandler.ConsumeStatus();
+    auto s = statusHandler.ConsumeStatus();
+    std::string message = "Could not translate MLIR to FlatBuffer.";
+    if (!s.ok()) {
+      absl::StrAppend(&message, " ", s.ToString());
+    }
+    return absl::UnknownError(message);
   }
 
   return OkStatus();
@@ -425,7 +432,12 @@ Status ConvertTFExecutorToTFLOrFlatbuffer(
   }
   if (!tflite::MlirToFlatBufferTranslateFunction(
           module, options, &translated_result, serialize_stablehlo_ops)) {
-    return statusHandler.ConsumeStatus();
+    auto s = statusHandler.ConsumeStatus();
+    std::string message = "Could not translate MLIR to FlatBuffer.";
+    if (!s.ok()) {
+      absl::StrAppend(&message, " ", s.ToString());
+    }
+    return absl::UnknownError(message);
   }
 
   // TODO(b/176267167): Quantize flex fallback in the MLIR pipeline