# 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>
290 lines
11 KiB
Python
290 lines
11 KiB
Python
"""Additional edge case tests for formatters to ensure robustness."""
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from arcade_cli.formatters import (
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HtmlFormatter,
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JsonFormatter,
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MarkdownFormatter,
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TextFormatter,
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)
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class MockEvaluation:
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"""Mock EvaluationResult for testing."""
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def __init__(
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self,
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passed: bool = True,
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warning: bool = False,
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score: float = 1.0,
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failure_reason: str | None = None,
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results: list[dict] | None = None,
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):
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self.passed = passed
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self.warning = warning
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self.score = score
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self.failure_reason = failure_reason
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self.results = results or []
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def make_empty_results() -> list[list[dict]]:
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"""Create empty evaluation results."""
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return [[{"model": "gpt-4o", "suite_name": "empty_suite", "rubric": "Test", "cases": []}]]
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class TestFormatterEdgeCases:
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"""Test edge cases that might not be covered elsewhere."""
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def test_empty_results_all_formatters(self) -> None:
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"""All formatters should handle empty results gracefully."""
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results = make_empty_results()
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for formatter_class in [TextFormatter, MarkdownFormatter, HtmlFormatter, JsonFormatter]:
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formatter = formatter_class()
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output = formatter.format(results)
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assert output # Should produce some output
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assert "0" in output or "Total: 0" in output.lower() or '"total_cases": 0' in output
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def test_failed_only_with_zero_original_total(self) -> None:
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"""Should handle original_counts with zero total without crashing."""
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results = make_empty_results()
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# Edge case: original_counts with 0 total (shouldn't happen in practice but should be safe)
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original_counts = (0, 0, 0, 0)
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for formatter_class in [TextFormatter, MarkdownFormatter, HtmlFormatter, JsonFormatter]:
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formatter = formatter_class()
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# Should not raise ZeroDivisionError
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output = formatter.format(results, failed_only=True, original_counts=original_counts)
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assert output # Should produce some output
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def test_failed_only_with_empty_results_but_nonzero_original(self) -> None:
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"""Should handle case where filtered results are empty but original had cases."""
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results = make_empty_results()
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# All cases were filtered out, but there were originally 5 cases (all passed)
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original_counts = (5, 5, 0, 0)
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for formatter_class in [TextFormatter, MarkdownFormatter, HtmlFormatter, JsonFormatter]:
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formatter = formatter_class()
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output = formatter.format(results, failed_only=True, original_counts=original_counts)
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assert output
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# Should show original counts
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assert "5" in output
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def test_all_formatters_handle_none_original_counts(self) -> None:
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"""All formatters should handle None original_counts gracefully."""
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results = [[{
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"model": "gpt-4o",
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"suite_name": "test",
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"rubric": "Test",
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"cases": [{
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"name": "test_case",
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"input": "test",
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"evaluation": MockEvaluation(passed=False, score=0.0),
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}],
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}]]
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for formatter_class in [TextFormatter, MarkdownFormatter, HtmlFormatter, JsonFormatter]:
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formatter = formatter_class()
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# Should not crash with None original_counts
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output = formatter.format(results, failed_only=True, original_counts=None)
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assert output
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def test_comparative_with_missing_track_data(self) -> None:
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"""Comparative formatters should handle missing track gracefully."""
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# Create comparative result where one track is missing data
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results = [[
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{
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"model": "gpt-4o",
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"suite_name": "Test Suite [track_a]",
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"track_name": "track_a",
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"rubric": None,
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"cases": [{
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"name": "test_case",
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"input": "test",
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"evaluation": MockEvaluation(passed=True, score=1.0),
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}],
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},
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{
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"model": "gpt-4o",
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"suite_name": "Test Suite [track_b]",
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"track_name": "track_b",
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"rubric": None,
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"cases": [], # Empty cases for this track
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},
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]]
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for formatter_class in [TextFormatter, MarkdownFormatter, HtmlFormatter, JsonFormatter]:
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formatter = formatter_class()
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output = formatter.format(results)
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assert output
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# Should mention both tracks
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assert "track_a" in output
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assert "track_b" in output
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def test_html_formatter_escapes_all_special_chars(self) -> None:
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"""HTML formatter must escape all special characters to prevent XSS."""
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results = [[{
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"model": "gpt-4o<script>alert('xss')</script>",
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"suite_name": "Suite & Test",
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"rubric": "Test",
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"cases": [{
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"name": "<img src=x onerror=alert(1)>",
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"input": "test' OR '1'='1",
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"evaluation": MockEvaluation(
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passed=False,
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score=0.0,
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failure_reason="Error: <script>malicious</script>",
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),
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}],
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}]]
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formatter = HtmlFormatter()
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output = formatter.format(results)
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# Should NOT contain raw script tags or other unescaped HTML
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assert "<script>" not in output
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assert "onerror" not in output or "&" in output # Should be escaped
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# Should contain escaped versions
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assert "<script>" in output or "<" in output
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assert "&" in output # & should be escaped
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def test_json_formatter_produces_valid_json_for_all_cases(self) -> None:
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"""JSON formatter must always produce valid JSON."""
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import json
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test_cases = [
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make_empty_results(),
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[[{
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"model": "test",
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"suite_name": "test",
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"rubric": None,
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"cases": [{
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"name": "test",
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"input": "test with \"quotes\" and \n newlines",
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"evaluation": MockEvaluation(passed=True),
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}],
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}]],
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]
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formatter = JsonFormatter()
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for results in test_cases:
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output = formatter.format(results)
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# Should be valid JSON (this will raise if invalid)
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parsed = json.loads(output)
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assert isinstance(parsed, dict)
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assert "summary" in parsed
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def test_formatters_with_suite_name_none(self) -> None:
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"""Formatters should handle None suite_name gracefully."""
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results = [[{
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"model": "gpt-4o",
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"suite_name": None, # Explicitly None
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"rubric": "Test",
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"cases": [{
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"name": "test_case",
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"input": "test",
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"evaluation": MockEvaluation(passed=True),
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}],
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}]]
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for formatter_class in [TextFormatter, MarkdownFormatter, HtmlFormatter, JsonFormatter]:
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formatter = formatter_class()
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output = formatter.format(results)
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assert output
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# Should use fallback name
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assert "Unnamed Suite" in output or "unnamed" in output.lower()
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def test_pass_rate_calculation_edge_cases(self) -> None:
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"""Test pass rate calculation in various edge cases."""
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# Case 1: All passed
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results_all_passed = [[{
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"model": "gpt-4o",
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"suite_name": "test",
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"rubric": "Test",
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"cases": [
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{"name": f"case_{i}", "input": "test", "evaluation": MockEvaluation(passed=True)}
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for i in range(5)
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],
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}]]
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# Case 2: All failed
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results_all_failed = [[{
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"model": "gpt-4o",
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"suite_name": "test",
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"rubric": "Test",
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"cases": [
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{"name": f"case_{i}", "input": "test", "evaluation": MockEvaluation(passed=False, score=0.0)}
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for i in range(5)
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],
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}]]
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formatter = JsonFormatter()
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# All passed should show 100% pass rate
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output_passed = formatter.format(results_all_passed)
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assert "100" in output_passed or "100.0" in output_passed
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# All failed should show 0% pass rate
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output_failed = formatter.format(results_all_failed)
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assert '"pass_rate": 0' in output_failed or '"pass_rate": 0.0' in output_failed
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def test_comparative_with_none_evaluation(self) -> None:
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"""Comparative formatters should handle None evaluation gracefully."""
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# Simulate a track result with missing evaluation (edge case)
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# This could happen if there was an error during evaluation
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# Note: In real usage, group_comparative_by_case would build the tracks dict
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# from cases, so we need to test this at the formatting level where
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# the track might not have evaluation data
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results = [[
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{
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"model": "gpt-4o",
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"suite_name": "Test Suite [track_a]",
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"track_name": "track_a",
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"rubric": None,
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"cases": [{
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"name": "test_case",
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"input": "test",
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"evaluation": MockEvaluation(passed=True, score=1.0, results=[
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{
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"field": "test",
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"match": True,
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"score": 1.0,
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"weight": 1.0,
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"expected": "test",
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"actual": "test",
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}
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]),
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}],
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},
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# track_b exists but has no cases (edge case where data is missing)
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]]
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# All formatters should handle missing track data without crashing
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for formatter_class in [TextFormatter, MarkdownFormatter, HtmlFormatter, JsonFormatter]:
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formatter = formatter_class()
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output = formatter.format(results)
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# Should produce output
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assert output
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# Should show the track that exists
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assert "track_a" in output or "Track" in output or "test_case" in output
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def test_comparative_with_no_results_in_evaluation(self) -> None:
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"""Comparative formatters should handle evaluation without results field."""
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results = [[
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{
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"model": "gpt-4o",
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"suite_name": "Test Suite [track_a]",
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"track_name": "track_a",
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"rubric": None,
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"cases": [{
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"name": "test_case",
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"input": "test",
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"evaluation": MockEvaluation(passed=True, score=1.0, results=[]), # Empty results
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}],
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},
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]]
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for formatter_class in [TextFormatter, MarkdownFormatter, HtmlFormatter, JsonFormatter]:
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formatter = formatter_class()
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# Should not crash with empty results
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output = formatter.format(results, show_details=True)
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assert output
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