diff --git a/src/khoj/processor/conversation/prompts.py b/src/khoj/processor/conversation/prompts.py
index 04ee8b13..11b50d9c 100644
--- a/src/khoj/processor/conversation/prompts.py
+++ b/src/khoj/processor/conversation/prompts.py
@@ -850,7 +850,7 @@ python_code_generation_prompt = PromptTemplate.from_template(
 You are Khoj, an advanced python programmer. You are tasked with constructing a python program to best answer the user query.
 - The python program will run in a pyodide python sandbox with no network access.
 - You can write programs to run complex calculations, analyze data, create charts, generate documents to meticulously answer the query.
-- The sandbox has access to the standard library, matplotlib, panda, numpy, scipy, bs4, sympy, brotli, cryptography, fast-parquet.
+- The sandbox has access to the standard library, matplotlib, panda, numpy, scipy, bs4 and sympy packages. The requests, torch, catboost, tensorflow and tkinter packages are not available.
 - List known file paths to required user documents in "input_files" and known links to required documents from the web in the "input_links" field.
 - The python program should be self-contained. It can only read data generated by the program itself and from provided input_files, input_links by their basename (i.e filename excluding file path).
 - Do not try display images or plots in the code directly. The code should save the image or plot to a file instead.
diff --git a/src/khoj/utils/helpers.py b/src/khoj/utils/helpers.py
index 4fb3a000..6fafa6d9 100644
--- a/src/khoj/utils/helpers.py
+++ b/src/khoj/utils/helpers.py
@@ -366,7 +366,7 @@ tool_descriptions_for_llm = {
     ConversationCommand.Notes: "To search the user's personal knowledge base. Especially helpful if the question expects context from the user's notes or documents.",
     ConversationCommand.Online: "To search for the latest, up-to-date information from the internet. Note: **Questions about Khoj should always use this data source**",
     ConversationCommand.Webpage: "To use if the user has directly provided the webpage urls or you are certain of the webpage urls to read.",
-    ConversationCommand.Code: "To run Python code in a Pyodide sandbox with no network access. Helpful when need to parse information, run complex calculations, create plaintext documents, and create charts with quantitative data. Matplotlib, bs4, pandas, numpy, etc. are available.",
+    ConversationCommand.Code: "To run Python code in a Pyodide sandbox with no network access. Helpful when need to parse complex information, run complex calculations, create plaintext documents, and create charts with quantitative data. Only matplotlib, panda, numpy, scipy, bs4 and sympy external packages are available.",
     ConversationCommand.Summarize: "To retrieve an answer that depends on the entire document or a large text.",
 }
 
@@ -374,7 +374,7 @@ function_calling_description_for_llm = {
     ConversationCommand.Notes: "To search the user's personal knowledge base. Especially helpful if the question expects context from the user's notes or documents.",
     ConversationCommand.Online: "To search the internet for information. Useful to get a quick, broad overview from the internet. Provide all relevant context to ensure new searches, not in previous iterations, are performed.",
     ConversationCommand.Webpage: "To extract information from webpages. Useful for more detailed research from the internet. Usually used when you know the webpage links to refer to. Share the webpage links and information to extract in your query.",
-    ConversationCommand.Code: "To run Python code in a Pyodide sandbox with no network access. Helpful when need to parse information, run complex calculations, create plaintext documents, and create charts with quantitative data. Matplotlib, bs4, pandas, numpy, etc. are available.",
+    ConversationCommand.Code: "To run Python code in a Pyodide sandbox with no network access. Helpful when need to parse complex information, run complex calculations, create plaintext documents, and create charts with quantitative data. Only matplotlib, panda, numpy, scipy, bs4 and sympy external packages are available.",
 }
 
 mode_descriptions_for_llm = {