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

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import_test_results

Import JUnit XML test execution results into the UTF registry to enable accurate pass/fail reporting.

Instructions

Import JUnit XML execution results into the UTF registry.

Use this when you have already run tests with pytest / Maven / Go and want to register the results so that generate_report shows real pass/fail rates.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
languageNoLanguage label (python|typescript|...). Default: pythonpython
frameworkNoFramework label (pytest|jest|...). Default: pytestpytest
test_typeNoTest type label (unit|integration|api|e2e|...). Default: e2ee2e
project_idNoOverride project name in registry (defaults to project_dir name).
project_dirNoAbsolute path to caller's project root. Registry stored at <project_dir>/.utf/utf.db. Defaults to UTF_PROJECT_DIR or cwd.
junit_xml_pathYesPath to the JUnit XML file (absolute or relative to project_dir).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations are provided, so the description must carry the full burden. It describes the core action and references the registry but does not disclose behavioral details like overwrite behavior, authorization needs, or error handling.

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

Conciseness4/5

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

The description is two sentences: the first stating the action and the second providing usage context. It is efficient, though the term 'UTF registry' may be slightly obscure without context.

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

Completeness4/5

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

Given the rich input schema (100% coverage) and the presence of an output schema, the description adequately covers the tool's purpose, prerequisites, and downstream integration with generate_report. Minor gaps like behavioral specifics are acceptable.

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 description does not need to add extra parameter meaning. It does not elaborate beyond what the schema already provides, achieving the baseline score.

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

Purpose5/5

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

The description clearly states the verb 'Import' and the resource 'JUnit XML execution results into the UTF registry'. It also distinguishes from siblings like run_tests and generate_report by specifying that tests have already been run.

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

Usage Guidelines4/5

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

The description gives explicit guidance on when to use: 'when you have already run tests... and want to register the results so that generate_report shows real pass/fail rates'. It implies but does not explicitly state when not to use or name alternatives.

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

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