diff --git a/docs/dsl/quick_start.md b/docs/dsl/quick_start.md
index 6c32ec32..afccd48e 100644
--- a/docs/dsl/quick_start.md
+++ b/docs/dsl/quick_start.md
@@ -12,6 +12,10 @@ After finishing the installation in the quick start section, you can add the fol
 python3 -m mscclpp --install
 ```
 
+This installs bundled default execution plans into `~/.cache/mscclpp/default` by default.
+If `MSCCLPP_CACHE_DIR` is set, bundled default plans are installed into `MSCCLPP_CACHE_DIR/default`.
+`MSCCLPP_CACHE_DIR` specifies the cache root directory, so it should be set without `default` in the path.
+
 ## Your First Algorithm: AllGather
 
 Let's walk through a simple AllGather algorithm to understand the DSL basics. This example demonstrates the key concepts without diving into all the advanced features.
diff --git a/docs/dsl/results.md b/docs/dsl/results.md
index 99f19476..a1adad2a 100644
--- a/docs/dsl/results.md
+++ b/docs/dsl/results.md
@@ -59,6 +59,9 @@ After installation, the generated JSON execution plan can be found at:
 ~/.cache/mscclpp/default/
 ```
 
+If `MSCCLPP_CACHE_DIR` is set, bundled default plans are installed under `MSCCLPP_CACHE_DIR/default/`.
+`MSCCLPP_CACHE_DIR` specifies the cache root directory, so it should be set without `default` in the path.
+
 **Performance Results:**
 
 The figure below shows the performance characteristics for small message sizes in a two-node configuration:
diff --git a/python/mscclpp/__main__.py b/python/mscclpp/__main__.py
index d57cb362..6a6f5f28 100644
--- a/python/mscclpp/__main__.py
+++ b/python/mscclpp/__main__.py
@@ -57,7 +57,7 @@ default_algo_configs = [
 
 
 def create_default_plans():
-    plan_dir = os.environ.get("MSCCLPP_CACHE_DIR", Path.home() / ".cache/mscclpp/default")
+    plan_dir = os.path.join(os.environ.get("MSCCLPP_CACHE_DIR", Path.home() / ".cache/mscclpp"), "default")
     plan_path = Path(plan_dir)
     if plan_path.exists():
         shutil.rmtree(plan_path)