# MCP Server Tool Evaluation Support
## Overview
Add support for evaluating tools from remote MCP servers without
requiring Python callables. Enables direct evaluation of any
MCP-compatible tool server.
## What's New
### Core Features
- **`MCPToolRegistry`**: Evaluate tools from a single MCP server
- **`CompositeMCPRegistry`**: Evaluate tools from multiple MCP servers
simultaneously
- **Automatic loaders**: `load_from_stdio()` and `load_from_http()` to
fetch tools from running servers
- **Automatic namespacing**: Tools prefixed with server name (e.g.,
`server_tool_name`)
- **Smart name resolution**: Use short names if unique, full names if
ambiguous
- **OpenAI strict mode**: Automatic schema conversion prevents parameter
hallucinations
### Usage
**Automatic Loading:**
```python
from arcade_evals import load_from_stdio, MCPToolRegistry
# Load tools automatically from MCP server
tools = load_from_stdio(["npx", "-y", "@modelcontextprotocol/server-github"])
registry = MCPToolRegistry(tools)
```
**Single MCP Server:**
```python
from arcade_evals import MCPToolRegistry, ExpectedToolCall
registry = MCPToolRegistry(mcp_tools)
suite = EvalSuite(catalog=registry)
suite.add_case(
expected_tool_calls=[
ExpectedToolCall(tool_name="tool_name", args={...})
]
)
```
**Multiple MCP Servers:**
```python
from arcade_evals import CompositeMCPRegistry, load_from_stdio
# Load from multiple servers
github_tools = load_from_stdio(["npx", "-y", "@modelcontextprotocol/server-github"])
slack_tools = load_from_stdio(["npx", "-y", "@modelcontextprotocol/server-slack"])
composite = CompositeMCPRegistry(
tool_lists={
"github": github_tools,
"slack": slack_tools,
}
)
suite = EvalSuite(catalog=composite)
suite.add_case(
expected_tool_calls=[
ExpectedToolCall(tool_name="github_list_issues", args={...})
]
)
```
## Implementation
### Files Changed
- **`libs/arcade-evals/arcade_evals/registry.py`** (NEW): Registry
abstractions and implementations
- **`libs/arcade-evals/arcade_evals/loaders.py`** (NEW): Automatic tool
loading from MCP servers
- **`libs/arcade-evals/arcade_evals/eval.py`** (MODIFIED): Enhanced
`ExpectedToolCall` and evaluation logic
- **`libs/arcade-evals/arcade_evals/__init__.py`** (MODIFIED): Exported
new registries and loaders
### Key Technical Details
- Added `BaseToolRegistry` interface for abstraction
- `MCPToolRegistry` handles single server tools
- `CompositeMCPRegistry` manages multiple servers with collision
detection
- `load_from_stdio()` and `load_from_http()` for automatic tool
discovery
- Fixed name normalization bug: MCP tools use underscores (not dots)
- Optimized tool copying: 2.5x faster via shallow copy
## Testing
- ✅ 41 tests passing (25 new tests added)
- ✅ `test_eval_mcp_registry.py`: MCPToolRegistry functionality
- ✅ `test_eval_composite_mcp.py`: CompositeMCPRegistry with multiple
servers
- ✅ Verified backward compatibility with Python tools
## Backward Compatibility
✅ **100% backward compatible** - No breaking changes
## Breaking Changes
**None**
<!-- CURSOR_SUMMARY -->
---
> [!NOTE]
> Adds end-to-end eval UX: examples, a robust CLI runner, and rich
outputs.
>
> - **New examples**: `eval_arcade_gateway.py`,
`eval_stdio_mcp_server.py`, `eval_http_mcp_server.py`,
`eval_comprehensive_comparison.py` with timeouts, error handling, and
track-based comparisons; detailed `README.md`
> - **CLI runner**: `arcade_cli/evals_runner.py` to execute
evals/capture in parallel with progress, error isolation, failed-only
filtering, context inclusion, and multi-provider/model support
> - **Output formatters**: `arcade_cli/formatters/` (txt, md, html,
json) for evals and capture; comparative and multi-model HTML with tabs
and context rendering
> - **Display refactor**: `display.py` now supports writing multiple
formats, failed-only disclaimers, include-context, and improved console
summaries
>
> <sup>Written by [Cursor
Bugbot](https://cursor.com/dashboard?tab=bugbot) for commit
ff8acf9c34a6b61462a019a1ee9df081006517d0. This will update automatically
on new commits. Configure
[here](https://cursor.com/dashboard?tab=bugbot).</sup>
<!-- /CURSOR_SUMMARY -->
---------
Co-authored-by: Francisco Liberal <francisco@arcade.dev>
Co-authored-by: Mateo Torres <torresmateo@gmail.com>
249 lines
10 KiB
Python
249 lines
10 KiB
Python
"""Tests for comparative evaluation execution logic."""
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from unittest.mock import AsyncMock, MagicMock
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import pytest
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from arcade_evals import (
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BinaryCritic,
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EvalRubric,
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EvalSuite,
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ExpectedMCPToolCall,
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)
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# Mark all tests in this module as requiring evals dependencies
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pytestmark = pytest.mark.evals
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class TestRunComparative:
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"""Tests for EvalSuite.run_comparative() method."""
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@pytest.mark.asyncio
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async def test_for_track_validates_track_exists(self) -> None:
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"""Test that for_track raises error if track doesn't exist."""
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suite = EvalSuite(name="test", system_message="test")
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# Add tools to track1 only
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suite.add_tool_definitions([{"name": "tool1", "description": "Test", "inputSchema": {}}], track="track1")
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# Try to add comparative case with track2 (doesn't exist)
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case = suite.add_comparative_case(name="test", user_message="test")
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case.for_track("track1", expected_tool_calls=[ExpectedMCPToolCall("tool1", args={})])
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# for_track validates immediately
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with pytest.raises(ValueError, match="Track.*not found"):
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case.for_track("track2", expected_tool_calls=[ExpectedMCPToolCall("tool2", args={})])
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@pytest.mark.asyncio
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async def test_run_comparative_returns_track_results(self) -> None:
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"""Test that run_comparative returns dict with track results."""
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suite = EvalSuite(name="test", system_message="test")
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# Add tools to two tracks
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suite.add_tool_definitions([{"name": "tool1", "description": "Test", "inputSchema": {}}], track="track1")
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suite.add_tool_definitions([{"name": "tool2", "description": "Test", "inputSchema": {}}], track="track2")
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# Add comparative case
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case = suite.add_comparative_case(name="case1", user_message="test")
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case.for_track("track1", expected_tool_calls=[ExpectedMCPToolCall("tool1", args={})])
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case.for_track("track2", expected_tool_calls=[ExpectedMCPToolCall("tool2", args={})])
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mock_client = AsyncMock()
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mock_response = MagicMock()
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mock_response.choices = [MagicMock()]
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mock_response.choices[0].message.tool_calls = None
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mock_client.chat.completions.create.return_value = mock_response
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result = await suite.run_comparative(mock_client, "gpt-4o", provider="openai")
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# Should return dict with track names as keys
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assert isinstance(result, dict)
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assert "track1" in result
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assert "track2" in result
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# Each track should have model, suite_name, track_name, cases
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assert result["track1"]["model"] == "gpt-4o"
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assert result["track1"]["suite_name"] == "test"
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assert result["track1"]["track_name"] == "track1"
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assert "cases" in result["track1"]
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assert len(result["track1"]["cases"]) == 1
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@pytest.mark.asyncio
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async def test_run_comparative_raises_without_comparative_cases(self) -> None:
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"""Test that run_comparative raises error when no comparative cases defined."""
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suite = EvalSuite(name="test", system_message="test")
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suite.add_tool_definitions([{"name": "tool1", "description": "Test", "inputSchema": {}}])
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mock_client = AsyncMock()
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with pytest.raises(ValueError, match="No comparative cases defined"):
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await suite.run_comparative(mock_client, "gpt-4o", provider="openai")
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@pytest.mark.asyncio
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async def test_run_comparative_respects_max_concurrent(self) -> None:
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"""Test that run_comparative respects max_concurrent setting."""
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suite = EvalSuite(name="test", system_message="test", max_concurrent=2)
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# Add tools
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suite.add_tool_definitions([{"name": "tool1", "description": "Test", "inputSchema": {}}], track="track1")
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# Add 3 cases
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for i in range(3):
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case = suite.add_comparative_case(name=f"case{i}", user_message=f"test{i}")
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case.for_track("track1", expected_tool_calls=[])
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mock_client = AsyncMock()
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mock_response = MagicMock()
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mock_response.choices = [MagicMock()]
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mock_response.choices[0].message.tool_calls = None
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mock_client.chat.completions.create.return_value = mock_response
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# Semaphore with max_concurrent=2 will be used
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result = await suite.run_comparative(mock_client, "gpt-4o", provider="openai")
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# All cases should complete
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assert len(result["track1"]["cases"]) == 3
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@pytest.mark.asyncio
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async def test_run_comparative_with_anthropic_provider(self) -> None:
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"""Test run_comparative works with Anthropic provider."""
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suite = EvalSuite(name="test", system_message="test")
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suite.add_tool_definitions([{"name": "search", "description": "Search", "inputSchema": {}}], track="track1")
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case = suite.add_comparative_case(name="test", user_message="search for cats")
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case.for_track("track1", expected_tool_calls=[ExpectedMCPToolCall("search", args={"query": "cats"})])
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mock_client = AsyncMock()
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mock_response = MagicMock()
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mock_response.content = []
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mock_client.messages.create.return_value = mock_response
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result = await suite.run_comparative(mock_client, "claude-3", provider="anthropic")
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assert "track1" in result
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assert result["track1"]["model"] == "claude-3"
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class TestComparativeCaseBuilder:
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"""Tests for ComparativeCaseBuilder fluent API."""
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def test_for_track_returns_builder_for_chaining(self) -> None:
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"""Test that for_track returns builder for method chaining."""
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suite = EvalSuite(name="test", system_message="test")
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suite.add_tool_definitions([{"name": "t1", "description": "Test", "inputSchema": {}}], track="track1")
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suite.add_tool_definitions([{"name": "t2", "description": "Test", "inputSchema": {}}], track="track2")
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builder = suite.add_comparative_case(name="test", user_message="test")
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result1 = builder.for_track("track1", expected_tool_calls=[])
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result2 = result1.for_track("track2", expected_tool_calls=[])
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# Should return same builder for chaining
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assert result1 is builder
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assert result2 is builder
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def test_comparative_case_with_custom_rubric(self) -> None:
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"""Test that comparative cases can have custom rubrics."""
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suite = EvalSuite(name="test", system_message="test")
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suite.add_tool_definitions([{"name": "t1", "description": "Test", "inputSchema": {}}], track="track1")
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strict_rubric = EvalRubric(fail_threshold=0.7, warn_threshold=0.9)
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# Rubric is set on the case, not per track
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builder = suite.add_comparative_case(name="test", user_message="test", rubric=strict_rubric)
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builder.for_track("track1", expected_tool_calls=[])
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# Build and verify rubric is stored on the case
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comp_case = builder.build()
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assert comp_case.rubric == strict_rubric
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def test_for_track_with_track_specific_critics(self) -> None:
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"""Test that tracks can have specific critics."""
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suite = EvalSuite(name="test", system_message="test")
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suite.add_tool_definitions([{"name": "t1", "description": "Test", "inputSchema": {}}], track="track1")
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critics = [BinaryCritic(critic_field="query", weight=1.0)]
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builder = suite.add_comparative_case(name="test", user_message="test")
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builder.for_track("track1", expected_tool_calls=[], critics=critics)
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comp_case = builder.build()
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assert comp_case.track_configs["track1"].critics == critics
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def test_build_raises_if_no_tracks_configured(self) -> None:
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"""Test that build() raises error if no tracks are configured."""
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suite = EvalSuite(name="test", system_message="test")
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builder = suite.add_comparative_case(name="test", user_message="test")
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with pytest.raises(ValueError, match="No tracks configured"):
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builder.build()
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class TestComparativeTrackValidation:
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"""Tests for track validation in comparative evaluations."""
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def test_for_track_validates_track_exists(self) -> None:
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"""Test that for_track validates track exists immediately."""
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suite = EvalSuite(name="test", system_message="test")
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# Register only track1
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suite.add_tool_definitions([{"name": "t1", "description": "Test", "inputSchema": {}}], track="track1")
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# Try to use nonexistent_track
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case = suite.add_comparative_case(name="test", user_message="test")
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case.for_track("track1", expected_tool_calls=[])
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# for_track validates immediately
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with pytest.raises(ValueError, match="Track.*not found"):
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case.for_track("nonexistent_track", expected_tool_calls=[])
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def test_for_track_error_lists_available_tracks(self) -> None:
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"""Test that error message lists available tracks."""
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suite = EvalSuite(name="test", system_message="test")
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suite.add_tool_definitions([{"name": "t1", "description": "Test", "inputSchema": {}}], track="available_track")
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case = suite.add_comparative_case(name="test", user_message="test")
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with pytest.raises(ValueError) as exc_info:
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case.for_track("missing_track", expected_tool_calls=[])
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error_msg = str(exc_info.value)
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assert "missing_track" in error_msg
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assert "available_track" in error_msg
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class TestComparativeConcurrencyControl:
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"""Tests for concurrency control in comparative execution."""
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@pytest.mark.asyncio
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async def test_semaphore_limits_concurrent_tasks(self) -> None:
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"""Test that semaphore properly limits concurrent API calls."""
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suite = EvalSuite(name="test", system_message="test", max_concurrent=1)
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suite.add_tool_definitions([{"name": "t1", "description": "Test", "inputSchema": {}}], track="track1")
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# Add 3 cases - with max_concurrent=1, they should run sequentially
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for i in range(3):
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case = suite.add_comparative_case(name=f"case{i}", user_message="test")
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case.for_track("track1", expected_tool_calls=[])
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call_count = 0
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async def mock_create(**kwargs):
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nonlocal call_count
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call_count += 1
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# Simulate some delay
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import asyncio
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await asyncio.sleep(0.01)
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mock_response = MagicMock()
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mock_response.choices = [MagicMock()]
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mock_response.choices[0].message.tool_calls = None
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return mock_response
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mock_client = AsyncMock()
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mock_client.chat.completions.create = mock_create
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await suite.run_comparative(mock_client, "gpt-4o", provider="openai")
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# All 3 cases should have been called
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assert call_count == 3
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