diff --git a/examples/agent_executor/many_tools.ipynb b/examples/agent_executor/many_tools.ipynb
index b6e636dc1..00aebc53c 100644
--- a/examples/agent_executor/many_tools.ipynb
+++ b/examples/agent_executor/many_tools.ipynb
@@ -282,12 +282,21 @@
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "871d160e-a2a3-4b13-bbd6-f7426b8f2f8d",
+   "cell_type": "markdown",
+   "id": "177aedfa-cec5-45d0-82ad-efc0233aa6b4",
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "source": [
+    "## Next steps\n",
+    "\n",
+    "This guide provides a minimal implementation for dynamically selecting tools. There is a host of possible improvements and optimizations:\n",
+    "\n",
+    "- **Repeating tool selection**: To manage errors from incorrect tool selection, we could revisit the `select_tools` node. Options include:\n",
+    "  - Modify `select_tools` to generate the vector store query using all messages in the state (e.g., with a chat model) and add an edge routing from `tools` to `select_tools`;\n",
+    "  - Equip the agent with a `reselect_tools` tool, allowing it to re-select tools at its discretion.\n",
+    "- **Optimizing tool selection**: In general, the full scope of [retrieval solutions](https://python.langchain.com/v0.2/docs/concepts/#retrieval) are available for tool selection. Additional options include:\n",
+    "  - Group tools and retrieve over groups;\n",
+    "  - Use a chat model to select tools or groups of tool."
+   ]
   }
  ],
  "metadata": {