diff --git a/docs/extras/modules/agents/agent_types/openai_functions_agent.ipynb b/docs/extras/modules/agents/agent_types/openai_functions_agent.ipynb
index 7de1211d..6040815a 100644
--- a/docs/extras/modules/agents/agent_types/openai_functions_agent.ipynb
+++ b/docs/extras/modules/agents/agent_types/openai_functions_agent.ipynb
@@ -1,13 +1,18 @@
 {
  "cells": [
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "9502d5b0",
    "metadata": {},
    "source": [
     "# OpenAI Functions Agent\n",
     "\n",
-    "This notebook showcases using an agent that uses the OpenAI functions ability"
+    "This notebook showcases using an agent that uses the OpenAI functions ability to respond to the prompts of the user using a Large Language Model\n",
+    "\n",
+    "Install openai,google-search-results packages which are required as the langchain packages call them internally\n",
+    "\n",
+    ">pip install openai google-search-results\n"
    ]
   },
   {
@@ -29,6 +34,24 @@
     "from langchain.chat_models import ChatOpenAI"
    ]
   },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "86198d9c",
+   "metadata": {},
+   "source": [
+    "The agent is given ability to perform 3 search functionalities with the respective tools\n",
+    "\n",
+    "SerpAPIWrapper:\n",
+    ">This initializes the SerpAPIWrapper for search functionality (search).\n",
+    "\n",
+    "LLMMathChain Initialization:\n",
+    ">This component provides math-related functionality.\n",
+    "\n",
+    "SQL Database Initialization:\n",
+    ">This component provides the agent to query in Custom Data Base.\n"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 2,
@@ -36,28 +59,43 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "llm = ChatOpenAI(temperature=0, model=\"gpt-3.5-turbo-0613\")\n",
-    "search = SerpAPIWrapper()\n",
+    "# Initialize the OpenAI language model\n",
+    "#Replace <your_api_key> in openai_api_key=\"<your_api_key>\" with your actual OpenAI key.\n",
+    "llm = ChatOpenAI(temperature=0, model=\"gpt-3.5-turbo-0613\",openai_api_key=\"<your_api_key>\")\n",
+    "\n",
+    "# Initialize the SerpAPIWrapper for search functionality\n",
+    "#Replace <your_api_key> in openai_api_key=\"<your_api_key>\" with your actual SerpAPI key.\n",
+    "search = SerpAPIWrapper(serpapi_api_key=\"<your_api_key>\")\n",
+    "\n",
+    "# Initialize the LLMMathChain\n",
     "llm_math_chain = LLMMathChain.from_llm(llm=llm, verbose=True)\n",
+    "\n",
+    "# Initialize the SQL database using the Chinook database file\n",
+    "# Replace the file location to the custom Data Base\n",
     "db = SQLDatabase.from_uri(\"sqlite:///../../../../../notebooks/Chinook.db\")\n",
+    "\n",
+    "# Initialize the SQLDatabaseChain with the OpenAI language model and SQL database\n",
     "db_chain = SQLDatabaseChain.from_llm(llm, db, verbose=True)\n",
+    "\n",
+    "# Define a list of tools offered by the agent\n",
     "tools = [\n",
     "    Tool(\n",
     "        name=\"Search\",\n",
     "        func=search.run,\n",
-    "        description=\"useful for when you need to answer questions about current events. You should ask targeted questions\",\n",
+
+    "        description=\"Useful when you need to answer questions about current events. You should ask targeted questions.\"\n",
     "    ),\n",
     "    Tool(\n",
     "        name=\"Calculator\",\n",
     "        func=llm_math_chain.run,\n",
-    "        description=\"useful for when you need to answer questions about math\",\n",
+    "        description=\"Useful when you need to answer questions about math.\"\n",
     "    ),\n",
     "    Tool(\n",
     "        name=\"FooBar-DB\",\n",
     "        func=db_chain.run,\n",
-    "        description=\"useful for when you need to answer questions about FooBar. Input should be in the form of a question containing full context\",\n",
-    "    ),\n",
-    "]"
+    "        description=\"Useful when you need to answer questions about FooBar. Input should be in the form of a question containing full context.\"\n",
+    "    )\n",
+    "]\n"
    ]
   },
   {