diff --git a/docs/scens/data_science.rst b/docs/scens/data_science.rst
index 0166033c..02b749fa 100644
--- a/docs/scens/data_science.rst
+++ b/docs/scens/data_science.rst
@@ -62,7 +62,7 @@ By leveraging the **Data Science** Agent, researchers and developers can acceler
 🔧 **Set up RD-Agent Environment**
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
-  - Before you start, please make sure you have installed RD-Agent and configured the environment for RD-Agent correctly. If you want to know how to install and configure the RD-Agent, please refer to the `documentation <../installation_and_configuration.html>`_.
+- Before you start, please make sure you have installed RD-Agent and configured the environment for RD-Agent correctly. If you want to know how to install and configure the RD-Agent, please refer to the `documentation <../installation_and_configuration.html>`_.
 
 - 🔩 **Setting the Environment variables at .env file**
 
@@ -244,6 +244,16 @@ By leveraging the **Data Science** Agent, researchers and developers can acceler
       dotenv set DS_LOCAL_DATA_PATH <your local directory>/ds_data
       dotenv set DS_CODER_ON_WHOLE_PIPELINE True
 
+  - 📘 More Environment Variables (Optional)
+
+    - If you want to see all the available environment variables, you can refer to the configuration file for Data Science scenarios:
+
+    .. literalinclude:: ../../rdagent/app/data_science/conf.py
+      :language: python
+      :linenos:
+
+    - These variables allow you to have finer-grained control in Data Science scenarios.
+
 🚀 **Run the Application**
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
@@ -259,6 +269,12 @@ By leveraging the **Data Science** Agent, researchers and developers can acceler
 
           rdagent data_science --competition arf-12-hours-prediction-task
 
+    -  More CLI Parameters for `rdagent data_science` command:
+
+      .. automodule:: rdagent.app.data_science.loop
+        :members:
+        :no-index:
+
   - 📈 Visualize the R&D Process
 
     - We provide a web UI to visualize the log. You just need to run:
@@ -318,6 +334,16 @@ By utilizing the **Kaggle Agent**, data scientists can craft innovative solution
     mkdir -p <your local directory>/ds_data
     dotenv set KG_LOCAL_DATA_PATH <your local directory>/ds_data
 
+  - 📘 More Environment Variables (Optional)
+
+    - If you want to see all the available environment variables, you can refer to the configuration file for Data Science scenarios:
+
+    .. literalinclude:: ../../rdagent/app/data_science/conf.py
+      :language: python
+      :linenos:
+
+    - These variables allow you to have finer-grained control in Data Science scenarios.
+
 - 🗳️ **Join the competition**
 
   - If your Kaggle API account has not joined a competition, you will need to join the competition before running the program.
@@ -507,6 +533,12 @@ By utilizing the **Kaggle Agent**, data scientists can craft innovative solution
 
           rdagent data_science --competition playground-series-s4e9
 
+    -  More CLI Parameters for `rdagent data_science` command:
+
+      .. automodule:: rdagent.app.data_science.loop
+        :members:
+        :no-index:
+
   - 📈 Visualize the R&D Process
 
     - We provide a web UI to visualize the log. You just need to run:
diff --git a/rdagent/app/data_science/loop.py b/rdagent/app/data_science/loop.py
index 560e71e3..5d68429c 100644
--- a/rdagent/app/data_science/loop.py
+++ b/rdagent/app/data_science/loop.py
@@ -41,6 +41,9 @@ def main(
         Number of loops to run; if None, the process will run indefinitely until an error or KeyboardInterrupt occurs.
         - If the current loop is incomplete, it will be counted as the first loop for completion.
         - If both step_n and loop_n are provided, the process will stop as soon as either condition is met.
+    timeout :
+        Maximum duration to run the loop. Accepts a string format recognized by the internal timer.
+        - If None, the loop will run until completion, error, or KeyboardInterrupt.
     competition :
         Competition name.
     replace_timer :
@@ -51,9 +54,11 @@ def main(
 
     Auto R&D Evolving loop for models in a Kaggle scenario.
     You can continue running a session by using the command:
+
     .. code-block:: bash
-        dotenv run -- python rdagent/app/data_science/loop.py [--competition titanic] $LOG_PATH/__session__/1/0_propose  --step_n 1   # `step_n` is an optional parameter
-        rdagent kaggle --competition playground-series-s4e8  # This command is recommended.
+
+      dotenv run -- python rdagent/app/data_science/loop.py [--competition titanic] $LOG_PATH/__session__/1/0_propose  --step_n 1   # `step_n` is an optional parameter
+      rdagent kaggle --competition playground-series-s4e8  # This command is recommended.
     """
     if not checkout_path is None:
         checkout = Path(checkout_path)