Skip to main content
Glama
phoenice-labs

io.github.phoenice-labs/universal-test-framework

Official

run_tests

Execute test files in multiple languages and get structured results with CI annotations for continuous integration workflows.

Instructions

Execute test files and return structured results with CI annotations.

Execution is always optional — controlled by UTF config. Never blocks generation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
languageYesLanguage of the tests (python | typescript | javascript | java | go)
frameworkNoTest framework hint (pytest | vitest | jest | junit5 | maven | gradle | go)
test_filesYesList of test file paths to execute
project_dirNoProject root directory (defaults to cwd)
timeout_secondsNoPer-file execution timeout in seconds (default: 120)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description must disclose behaviors. It mentions 'Never blocks generation' which is a key behavioral trait, but omits details like failure modes, side effects, or required permissions. Minimal transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences with no unnecessary words. Front-loaded with the primary action and output. Every word earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has 5 parameters and an output schema, but the description does not explain return values or error handling. For a test execution tool, details about partial failures or result structure would improve completeness.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the baseline is 3. The description adds no additional meaning beyond the parameter descriptions already present in the schema (e.g., language, framework, etc.). Hence no extra value.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Execute test files') and the output ('structured results with CI annotations'). It does not explicitly differentiate from siblings like 'generate_tests', but the verb 'execute' makes its purpose distinct.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives like 'analyze_coverage' or 'validate_test_contract'. The only usage hint is that execution is optional and non-blocking, which is context but not a comparison.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/phoenice-labs/Universal-Test-Framework'

If you have feedback or need assistance with the MCP directory API, please join our Discord server