fix: Temporarily disable brave search mcp integration test (#2187)

* Disable brave search temporarily, keeps returning no results found

Author: vblagoje

integrations/mcp/tests/test_mcp_integration.py

@@ -135,12 +135,7 @@ def subtract(a: int, b: int) -> int:
             if os.path.exists(server_script_path):
                 os.remove(server_script_path)
 
-    @pytest.mark.skipif(
-        (not os.environ.get("OPENAI_API_KEY") and not os.environ.get("BRAVE_API_KEY"))
-        or (sys.platform == "win32")
-        or (sys.platform == "darwin"),
-        reason="OPENAI_API_KEY or BRAVE_API_KEY not set, or running on Windows or macOS",
-    )
+    @pytest.mark.skip("Brave is temporarily not returning results")
     def test_mcp_brave_search(self, mcp_tool_cleanup):
         """Test using an MCPTool in a pipeline with OpenAI."""
 
@@ -165,14 +160,16 @@ def test_mcp_brave_search(self, mcp_tool_cleanup):
 
         # Create pipeline with OpenAIChatGenerator and ToolInvoker
         pipeline = Pipeline()
-        pipeline.add_component("llm", OpenAIChatGenerator(model="gpt-4o-mini", tools=[tool]))
+        pipeline.add_component("llm", OpenAIChatGenerator(model="gpt-4.1-mini", tools=[tool]))
         pipeline.add_component("tool_invoker", ToolInvoker(tools=[tool]))
 
         # Connect components
         pipeline.connect("llm.replies", "tool_invoker.messages")
 
         # Create a message that should trigger tool use
-        message = ChatMessage.from_user(text="Use brave_web_search to search for the latest German elections news")
+        message = ChatMessage.from_user(
+            text="Use brave_web_search to search for the latest news about the stock market, use the `query` parameter"
+        )
 
         result = pipeline.run({"llm": {"messages": [message]}})
 
@@ -181,10 +178,10 @@ def test_mcp_brave_search(self, mcp_tool_cleanup):
 
         tool_message = tool_messages[0]
         assert tool_message.is_from(ChatRole.TOOL)
-        assert any(term in tool_message.tool_call_result.result for term in ["Bundestag", "election"]), (
-            "Result should contain information about German elections"
-            f"\n\nResult: {tool_message.tool_call_result.result}"
-        )
+        assert any(
+            term in tool_message.tool_call_result.result
+            for term in ["equity", "market", "stock", "price", "NASDAQ", "S&P 500"]
+        ), f"Result should contain information about the stock market\n\nResult: {tool_message.tool_call_result.result}"
 
     @pytest.mark.skipif(not os.environ.get("OPENAI_API_KEY"), reason="OPENAI_API_KEY not set")
     def test_mcp_tool_in_pipeline_with_multiple_tools(self, mcp_tool_cleanup):
@@ -211,7 +208,7 @@ def test_mcp_tool_in_pipeline_with_multiple_tools(self, mcp_tool_cleanup):
 
         # Create pipeline with OpenAIChatGenerator and ToolInvoker
         pipeline = Pipeline()
-        pipeline.add_component("llm", OpenAIChatGenerator(model="gpt-4o-mini", tools=[echo_tool, time_tool]))
+        pipeline.add_component("llm", OpenAIChatGenerator(model="gpt-4.1-mini", tools=[echo_tool, time_tool]))
         pipeline.add_component("tool_invoker", ToolInvoker(tools=[echo_tool, time_tool]))
 
         pipeline.connect("llm.replies", "tool_invoker.messages")