# 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>
132 lines
3.9 KiB
Python
132 lines
3.9 KiB
Python
"""Comparative case builder for multi-track evaluations.
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Provides a fluent API for defining evaluation cases that run against
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multiple tool tracks with track-specific expected results and critics.
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"""
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from __future__ import annotations
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from typing import TYPE_CHECKING, Any
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from arcade_evals._evalsuite._types import (
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ComparativeCase,
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EvalRubric,
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ExpectedMCPToolCall,
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ExpectedToolCall,
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)
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if TYPE_CHECKING:
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from arcade_evals.critic import Critic
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class ComparativeCaseBuilder:
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"""Fluent builder for creating comparative cases.
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Example:
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builder = ComparativeCaseBuilder(
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suite=suite,
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name="weather_query",
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user_message="What's the weather?",
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)
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builder.for_track(
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"Google Weather",
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expected_tool_calls=[...],
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critics=[...],
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).for_track(
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"OpenWeather",
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expected_tool_calls=[...],
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critics=[...],
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)
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"""
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def __init__(
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self,
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suite: Any, # EvalSuite - avoid circular import
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name: str,
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user_message: str,
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system_message: str = "",
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additional_messages: list[dict[str, str]] | None = None,
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rubric: EvalRubric | None = None,
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) -> None:
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"""Initialize the builder.
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Args:
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suite: The parent EvalSuite.
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name: Unique case name.
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user_message: User message (shared across tracks).
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system_message: System message (shared across tracks).
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additional_messages: Additional context (shared).
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rubric: Default rubric (shared, can be overridden).
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"""
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self._suite = suite
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self._case = ComparativeCase(
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name=name,
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user_message=user_message,
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system_message=system_message,
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additional_messages=additional_messages or [],
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rubric=rubric,
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)
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def for_track(
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self,
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track_name: str,
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expected_tool_calls: list[ExpectedToolCall | ExpectedMCPToolCall],
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critics: list[Critic] | None = None,
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) -> ComparativeCaseBuilder:
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"""Add track-specific configuration.
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Args:
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track_name: The track name (must be registered via add_*_tools).
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expected_tool_calls: Expected tool calls for this track.
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critics: Critics for this track.
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Returns:
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Self for method chaining.
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Raises:
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ValueError: If track doesn't exist.
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"""
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# Validate track exists
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if not self._suite._track_manager.has_track(track_name):
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available = self._suite._track_manager.get_track_names()
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raise ValueError(
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f"Track '{track_name}' not found. "
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f"Available tracks: {available}. "
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f"Register tracks first using add_*_tools(track=...)."
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)
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self._case.add_track_config(
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track_name=track_name,
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expected_tool_calls=expected_tool_calls,
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critics=critics,
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)
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return self
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def build(self) -> ComparativeCase:
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"""Build and return the comparative case.
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Returns:
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The configured ComparativeCase.
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Raises:
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ValueError: If no tracks configured.
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"""
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if not self._case.track_configs:
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raise ValueError(
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f"No tracks configured for comparative case '{self._case.name}'. "
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f"Use .for_track() to add at least one track configuration."
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)
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return self._case
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@property
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def case(self) -> ComparativeCase:
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"""Access the underlying case for inspection.
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Note: This is primarily for testing. The case may be incomplete
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if tracks haven't been configured yet. Use build() to validate
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and finalize the case.
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Returns:
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The ComparativeCase (may be incomplete).
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"""
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return self._case
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