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import_test_results

Import automated test results from JUnit, Cucumber, Xray JSON, Robot Framework, or TestNG formats into Xray Test Management for centralized tracking and analysis.

Instructions

Import automated test execution results from various formats (JUnit, Cucumber, Xray JSON, Robot Framework, TestNG)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
formatYesFormat of the test results to import
resultsYesTest results content as XML or JSON string
projectKeyYesJira project key (e.g., "PROJ")
testPlanKeyNoOptional: Test plan key to associate results with (e.g., "PROJ-123")
testEnvironmentsNoOptional: Test environments (e.g., ["Chrome", "Production"])
testExecKeyNoOptional: Existing test execution key to update
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It implies a write operation ('import') but doesn't specify permissions needed, whether it creates or updates records, error handling, or side effects. This is a significant gap for a tool with multiple parameters and no output schema.

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?

The description is a single, efficient sentence that front-loads the core action and lists formats without unnecessary elaboration. Every word earns its place, making it easy to scan and understand quickly.

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?

For a tool with 6 parameters, no annotations, and no output schema, the description is incomplete. It lacks behavioral context, usage differentiation from siblings, and details on what happens after import (e.g., does it create test executions?). More information is needed to guide effective use.

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 description coverage is 100%, so the schema already documents all parameters thoroughly. The description adds no additional meaning beyond listing format names, which are already in the enum. Baseline 3 is appropriate as the schema does the heavy lifting.

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 verb ('import') and resource ('automated test execution results'), and lists specific formats (JUnit, Cucumber, etc.), making the purpose explicit. However, it doesn't distinguish this tool from sibling tools like 'create_test_execution' or 'update_test_execution', which might handle similar test-related operations.

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?

No guidance is provided on when to use this tool versus alternatives like 'create_test_execution' or 'update_test_execution'. The description only lists supported formats without indicating context or prerequisites, leaving the agent to guess based on parameter names alone.

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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