diff --git a/configure.py b/configure.py
index 05e3e80..cf16ef4 100644
--- a/configure.py
+++ b/configure.py
@@ -1122,12 +1122,16 @@
   write_action_env_to_bazelrc('COMPUTECPP_TOOLKIT_PATH',
                               computecpp_toolkit_path)
 
+
 def set_trisycl_include_dir(environ_cp):
   """Set TRISYCL_INCLUDE_DIR."""
-  ask_trisycl_include_dir = (
-      'Please specify the location of the triSYCL include directory. (Use '
-      '--config=sycl_trisycl when building with Bazel) '
-      '[Default is %s]: ') % _DEFAULT_TRISYCL_INCLUDE_DIR
+
+  ask_trisycl_include_dir = ('Please specify the location of the triSYCL '
+                             'include directory. (Use --config=sycl_trisycl '
+                             'when building with Bazel) '
+                             '[Default is %s]: '
+                            ) % (_DEFAULT_TRISYCL_INCLUDE_DIR)
+
   while True:
     trisycl_include_dir = get_from_env_or_user_or_default(
         environ_cp, 'TRISYCL_INCLUDE_DIR', ask_trisycl_include_dir,
@@ -1201,46 +1205,10 @@
     raise ValueError('Cannot find the MPI library file in %s/lib' % mpi_home)
 
 
-def set_mkl():
-  write_to_bazelrc('build:mkl --define using_mkl=true')
-  write_to_bazelrc('build:mkl -c opt')
-  print(
-      'Add "--config=mkl" to your bazel command to build with MKL '
-      'support.\nPlease note that MKL on MacOS or windows is still not '
-      'supported.\nIf you would like to use a local MKL instead of '
-      'downloading, please set the environment variable \"TF_MKL_ROOT\" every '
-      'time before build.\n')
-
-
-def set_monolithic():
-  # Add --config=monolithic to your bazel command to use a mostly-static
-  # build and disable modular op registration support (this will revert to
-  # loading TensorFlow with RTLD_GLOBAL in Python). By default (without
-  # --config=monolithic), TensorFlow will build with a dependence on
-  # //tensorflow:libtensorflow_framework.so.
-  write_to_bazelrc('build:monolithic --define framework_shared_object=false')
-  # For projects which use TensorFlow as part of a Bazel build process, putting
-  # nothing in a bazelrc will default to a monolithic build. The following line
-  # opts in to modular op registration support by default:
-  write_to_bazelrc('build --define framework_shared_object=true')
-
-
-def create_android_bazelrc_configs():
-  # Flags for --config=android
-  write_to_bazelrc('build:android --crosstool_top=//external:android/crosstool')
-  write_to_bazelrc(
-      'build:android --host_crosstool_top=@bazel_tools//tools/cpp:toolchain')
-  # Flags for --config=android_arm
-  write_to_bazelrc('build:android_arm --config=android')
-  write_to_bazelrc('build:android_arm --cpu=armeabi-v7a')
-  # Flags for --config=android_arm64
-  write_to_bazelrc('build:android_arm64 --config=android')
-  write_to_bazelrc('build:android_arm64 --cpu=arm64-v8a')
-
-
 def set_grpc_build_flags():
   write_to_bazelrc('build --define grpc_no_ares=true')
 
+
 def set_windows_build_flags():
   if is_windows():
     # The non-monolithic build is not supported yet
@@ -1251,6 +1219,11 @@
     write_to_bazelrc('build --verbose_failures')
 
 
+def config_info_line(name, help_text):
+  """Helper function to print formatted help text for Bazel config options."""
+  print('\t--config=%-12s\t# %s' % (name, help_text))
+
+
 def main():
   # Make a copy of os.environ to be clear when functions and getting and setting
   # environment variables.
@@ -1336,10 +1309,7 @@
 
   set_grpc_build_flags()
   set_cc_opt_flags(environ_cp)
-  set_mkl()
-  set_monolithic()
   set_windows_build_flags()
-  create_android_bazelrc_configs()
 
   if workspace_has_any_android_rule():
     print('The WORKSPACE file has at least one of ["android_sdk_repository", '
@@ -1357,6 +1327,11 @@
       create_android_ndk_rule(environ_cp)
       create_android_sdk_rule(environ_cp)
 
+  print('Preconfigured Bazel build configs. You can use any of the below by '
+        'adding "--config=<>" to your build command. See tools/bazel.rc for '
+        'more details.')
+  config_info_line('mkl', 'Build with MKL support.')
+  config_info_line('monolithic', 'Config for mostly static monolithic build.')
 
 if __name__ == '__main__':
   main()