diff --git a/src/demo/sequence_test.py b/src/demo/sequence_test.py
index 343b375c..89c8d3d8 100644
--- a/src/demo/sequence_test.py
+++ b/src/demo/sequence_test.py
@@ -159,7 +159,7 @@ def generate_itinerary(destination, start_date, end_date):
     judgment.assert_test(
         project_name="travel_agent_demo",
         examples=[example],
-        scorers=[ToolOrderScorer(threshold=0.5)],
+        scorers=[ToolOrderScorer()],
         model="gpt-4.1-mini",
         function=generate_itinerary,
         tracer=tracer,
diff --git a/src/judgeval/data/example.py b/src/judgeval/data/example.py
index d7dd6e7e..deeb9972 100644
--- a/src/judgeval/data/example.py
+++ b/src/judgeval/data/example.py
@@ -8,6 +8,7 @@
 from pydantic import BaseModel, Field, field_validator
 from enum import Enum
 from datetime import datetime
+from judgeval.data.tool import Tool
 import time
 
 
@@ -31,7 +32,7 @@ class Example(BaseModel):
     retrieval_context: Optional[List[str]] = None
     additional_metadata: Optional[Dict[str, Any]] = None
     tools_called: Optional[List[str]] = None
-    expected_tools: Optional[List[Dict[str, Any]]] = None
+    expected_tools: Optional[List[Tool]] = None
     name: Optional[str] = None
     example_id: str = Field(default_factory=lambda: str(uuid4()))
     example_index: Optional[int] = None
@@ -82,17 +83,17 @@ def validate_expected_output(cls, v):
             raise ValueError(f"All items in expected_output must be strings but got {v}")
         return v
     
-    @field_validator('expected_tools', mode='before')
+    @field_validator('expected_tools')
     @classmethod
     def validate_expected_tools(cls, v):
         if v is not None:
             if not isinstance(v, list):
-                raise ValueError(f"Expected tools must be a list of dictionaries or None but got {v} of type {type(v)}")
+                raise ValueError(f"Expected tools must be a list of Tools or None but got {v} of type {type(v)}")
             
-            # Check that each item in the list is a dictionary
+            # Check that each item in the list is a Tool
             for i, item in enumerate(v):
-                if not isinstance(item, dict):
-                    raise ValueError(f"Expected tools must be a list of dictionaries, but item at index {i} is {item} of type {type(item)}")
+                if not isinstance(item, Tool):
+                    raise ValueError(f"Expected tools must be a list of Tools, but item at index {i} is {item} of type {type(item)}")
         
         return v
     
diff --git a/src/judgeval/data/tool.py b/src/judgeval/data/tool.py
new file mode 100644
index 00000000..1c886cf0
--- /dev/null
+++ b/src/judgeval/data/tool.py
@@ -0,0 +1,19 @@
+from pydantic import BaseModel, field_validator
+from typing import Dict, Any, Optional
+import warnings
+
+class Tool(BaseModel):
+    tool_name: str
+    parameters: Optional[Dict[str, Any]] = None
+    
+    @field_validator('tool_name')
+    def validate_tool_name(cls, v):
+        if not v:
+            warnings.warn("Tool name is empty or None", UserWarning)
+        return v
+    
+    @field_validator('parameters')
+    def validate_parameters(cls, v):
+        if v is not None and not isinstance(v, dict):
+            warnings.warn(f"Parameters should be a dictionary, got {type(v)}", UserWarning)
+        return v
\ No newline at end of file
diff --git a/src/judgeval/data/trace.py b/src/judgeval/data/trace.py
index 6e44298d..1c150481 100644
--- a/src/judgeval/data/trace.py
+++ b/src/judgeval/data/trace.py
@@ -1,6 +1,7 @@
 from pydantic import BaseModel
 from typing import Optional, Dict, Any, List
 from judgeval.evaluation_run import EvaluationRun
+from judgeval.data.tool import Tool
 import json
 from datetime import datetime, timezone
 
@@ -17,7 +18,7 @@ class TraceSpan(BaseModel):
     duration: Optional[float] = None
     annotation: Optional[List[Dict[str, Any]]] = None
     evaluation_runs: Optional[List[EvaluationRun]] = []
-    expected_tools: Optional[List[Dict[str, Any]]] = None
+    expected_tools: Optional[List[Tool]] = None
     additional_metadata: Optional[Dict[str, Any]] = None
 
     def model_dump(self, **kwargs):
diff --git a/src/tests/data/test_example.py b/src/tests/data/test_example.py
index 5fc097c0..adc4bcd2 100644
--- a/src/tests/data/test_example.py
+++ b/src/tests/data/test_example.py
@@ -6,7 +6,7 @@
 from datetime import datetime
 from pydantic import ValidationError
 from judgeval.data import Example
-
+from judgeval.data.tool import Tool
 
 def test_basic_example_creation():
     example = Example(
@@ -30,7 +30,7 @@ def test_full_example_creation():
         retrieval_context=["retrieval1", "retrieval2"],
         additional_metadata={"key": "value"},
         tools_called=["tool1", "tool2"],
-        expected_tools=[{"tool_name": "expected_tool1"}, {"tool_name": "expected_tool2"}],
+        expected_tools=[Tool(tool_name="expected_tool1"), Tool(tool_name="expected_tool2")],
         name="test example",
         example_id="123",
         timestamp="20240101_120000",
@@ -43,7 +43,7 @@ def test_full_example_creation():
     assert example.retrieval_context == ["retrieval1", "retrieval2"]
     assert example.additional_metadata == {"key": "value"}
     assert example.tools_called == ["tool1", "tool2"]
-    assert example.expected_tools == [{"tool_name": "expected_tool1"}, {"tool_name": "expected_tool2"}]
+    assert example.expected_tools == [Tool(tool_name="expected_tool1"), Tool(tool_name="expected_tool2")]
     assert example.name == "test example"
     assert example.example_id == "123"
     assert example.timestamp == "20240101_120000"