diff --git a/MCP_TEST_README.md b/MCP_TEST_README.md
deleted file mode 100644
index a9cb41c7..00000000
--- a/MCP_TEST_README.md
+++ /dev/null
@@ -1,187 +0,0 @@
-# MCP Tools Bug Fix Test Scripts
-
-This directory contains test scripts to verify the fix for the MCP (Model Context Protocol) tools integration bug.
-
-## Bug Description
-
-**Issue**: `TypeError: object of type 'Function' has no len()`
-
-**Location**: `swarms/utils/litellm_wrapper.py` in the `output_for_tools` method
-
-**Root Cause**: The code was incorrectly trying to call `len()` on a `Function` object instead of checking the length of the `tool_calls` array.
-
-## Test Scripts
-
-### 1. `test_mcp_bug_fix.py` - Simple Bug Fix Test
-
-A focused test script that specifically reproduces the exact scenario from the bug report.
-
-**Features**:
-- Tests the specific error scenario that was failing
-- Verifies the fix handles both single and multiple tool calls
-- Provides clear pass/fail results
-
-**Usage**:
-```bash
-python test_mcp_bug_fix.py
-```
-
-### 2. `test_mcp_tools_example.py` - Comprehensive Test Suite
-
-A comprehensive test suite that covers various aspects of MCP tools integration.
-
-**Features**:
-- Basic tool fetching test
-- Multiple MCP servers test
-- Agent execution with MCP tools
-- Error handling scenarios
-- Performance testing
-- Detailed reporting
-
-**Usage**:
-```bash
-python test_mcp_tools_example.py
-```
-
-## Prerequisites
-
-Before running the tests, you need to start the MCP server:
-
-1. **Start the OKX Crypto Server**:
-   ```bash
-   python examples/mcp/multi_mcp_guide/okx_crypto_server.py
-   ```
-   
-   This will start the server on `http://0.0.0.0:8001/mcp`
-
-2. **Install Required Dependencies**:
-   ```bash
-   pip install swarms mcp fastmcp requests
-   ```
-
-## Expected Results
-
-### Before the Fix
-- ❌ `TypeError: object of type 'Function' has no len()`
-- ❌ Agent execution fails when using MCP tools
-- ❌ MCP tool calls cannot be processed
-
-### After the Fix
-- ✅ Tools are fetched successfully
-- ✅ Agent can execute tasks using MCP tools
-- ✅ Both single and multiple tool calls work correctly
-- ✅ No TypeError occurs
-
-## Test Scenarios
-
-### Basic Functionality
-1. **Tool Fetching**: Verify MCP tools can be retrieved from the server
-2. **Agent Creation**: Verify agents can be created with MCP tool integration
-3. **Tool Execution**: Verify agents can execute tasks that use MCP tools
-
-### Error Handling
-1. **Invalid Server URL**: Test behavior with non-existent server
-2. **Invalid Authentication**: Test behavior with wrong credentials
-3. **Network Timeouts**: Test behavior with connection timeouts
-
-### Edge Cases
-1. **Single Tool Call**: Verify single tool call processing
-2. **Multiple Tool Calls**: Verify multiple tool call processing
-3. **Empty Responses**: Test behavior with empty tool responses
-
-## Sample Output
-
-### Successful Test Run
-```
-🚀 MCP Bug Fix Test
-This test verifies the fix for the TypeError in MCP tool usage.
-Make sure the OKX crypto server is running on port 8001.
-
-🐛 Testing MCP Bug Fix
-========================================
-1. Fetching MCP tools...
-   ✅ Successfully fetched 2 tools
-2. Creating agent with MCP tools...
-   ✅ Agent created successfully
-3. Running task with MCP tools...
-   Task: Get Bitcoin trading volume using get_okx_crypto_volume tool
-   ✅ Task completed successfully!
-   Result: [Tool execution result with Bitcoin volume data]
-
-========================================
-📊 TEST SUMMARY
-========================================
-✅ Main bug fix: PASSED
-   The TypeError: object of type 'Function' has no len() is fixed!
-✅ Multiple tool calls: PASSED
-
-🎉 ALL TESTS PASSED!
-The MCP tools integration is working correctly.
-```
-
-## Troubleshooting
-
-### Common Issues
-
-1. **Server Not Running**:
-   ```
-   Error: Connection refused
-   Solution: Start the OKX crypto server first
-   ```
-
-2. **Port Already in Use**:
-   ```
-   Error: Address already in use
-   Solution: Change the port in the server script or kill existing processes
-   ```
-
-3. **Authentication Error**:
-   ```
-   Error: 401 Unauthorized
-   Solution: Check the Authorization header in the connection
-   ```
-
-### Debug Mode
-
-To get more detailed output, you can modify the test scripts to enable verbose logging:
-
-```python
-# In the test scripts, add:
-import logging
-logging.basicConfig(level=logging.DEBUG)
-```
-
-## Code Changes Made
-
-The fix involved modifying the `output_for_tools` method in `swarms/utils/litellm_wrapper.py`:
-
-**Before** (buggy code):
-```python
-if self.mcp_call is True:
-    out = response.choices[0].message.tool_calls[0].function
-    if len(out) > 1:  # ❌ Error: Function objects don't have len()
-        return out
-    else:
-        out = out[0]
-```
-
-**After** (fixed code):
-```python
-if self.mcp_call is True:
-    tool_calls = response.choices[0].message.tool_calls
-    if len(tool_calls) > 1:  # ✅ Correct: Check tool_calls length
-        # Handle multiple tool calls
-        return [...]
-    else:
-        # Handle single tool call
-        out = tool_calls[0].function
-```
-
-## Contributing
-
-If you find any issues with these test scripts or the MCP tools integration, please:
-
-1. Run the test scripts to reproduce the issue
-2. Check the server logs for additional error information
-3. Report the issue with the test output and error details
-4. Include your environment details (Python version, OS, etc.)
diff --git a/swarms/structs/agent.py b/swarms/structs/agent.py
index 532dd576..78381692 100644
--- a/swarms/structs/agent.py
+++ b/swarms/structs/agent.py
@@ -729,9 +729,13 @@ class Agent:
         if self.agent_name is not None:
             prompt_dict["name"] = f"Your Name: {self.agent_name}"
         if self.agent_description is not None:
-            prompt_dict["description"] = f"Your Description: {self.agent_description}"
+            prompt_dict["description"] = (
+                f"Your Description: {self.agent_description}"
+            )
         if self.system_prompt is not None:
-            prompt_dict["instructions"] = f"Your Instructions: {self.system_prompt}"
+            prompt_dict["instructions"] = (
+                f"Your Instructions: {self.system_prompt}"
+            )
 
         # Compose prompt, prioritizing adding everything present in the dict
         # (entries are newline separated, order: name → description → instructions)
diff --git a/swarms/utils/litellm_wrapper.py b/swarms/utils/litellm_wrapper.py
index 469f2f3d..edf8a4f1 100644
--- a/swarms/utils/litellm_wrapper.py
+++ b/swarms/utils/litellm_wrapper.py
@@ -478,7 +478,7 @@ class LiteLLM:
         """
         if self.mcp_call is True:
             tool_calls = response.choices[0].message.tool_calls
-            
+
             # Check if there are multiple tool calls
             if len(tool_calls) > 1:
                 # Return all tool calls if there are multiple
diff --git a/test_moa_new.py b/test_moa_new.py
index dd6a7f6d..d5408b02 100644
--- a/test_moa_new.py
+++ b/test_moa_new.py
@@ -2,8 +2,8 @@ from swarms import Agent
 from swarms.prompts.finance_agent_sys_prompt import (
     FINANCIAL_AGENT_SYS_PROMPT,
 )
-from swarms.structs.mixture_of_agents import MixtureOfAgents
 from swarms.prompts.moa_prompt import MOA_AGGREGATOR_SYSTEM_PROMPT
+from swarms.structs.mixture_of_agents import MixtureOfAgents
 
 # Initialize the equity analyst agents
 equity_analyst_1 = Agent(