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Zephyr: Get Test Cycles linked to a Jira issue

zephyr_get_test_cycles_linked_to_a_jira_issue
Read-onlyIdempotent

Retrieve test cycles linked to a Jira issue by providing its issue key. Get cycle IDs for traceability and analysis.

Instructions

Get test cycles linked to a Jira issue in Zephyr

Toolset: Issue Links

Parameters:

  • issueKey (string) required: The key of the Jira issue

Examples:

  1. Check which test cycles are linked to Jira issue PROJ-123

{
  "issueKey": "PROJ-123"
}

Expected Output: The List of test cycles linked to Jira issue PROJ-123 with their IDs

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
issueKeyYesThe key of the Jira issue

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Install Server

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already convey readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the tool's safety profile is clear. The description adds useful scoping context ('linked to a Jira issue') and notes that output is a list of cycles with IDs, but it does not disclose any additional behavioral caveats such as pagination or link-type filtering. No contradiction with annotations exists.

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 well-structured and front-loaded: purpose, toolset, parameter list, then example. The example JSON is useful and the expected output is summarized. It is concise without being under-specified.

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?

For a single-parameter, read-only tool with an output schema and clear annotations, the description is largely sufficient. It gives a concrete invocation and expected output. The main gap is lack of sibling differentiation, but that is not crucial for invoking this simple tool correctly.

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%: the schema already documents issueKey with type, requiredness, and a pattern. The description repeats this and adds a concrete example value ('PROJ-123'), but does not meaningfully extend the parameter semantics beyond what the schema provides.

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 states a specific verb and resource: 'Get test cycles linked to a Jira issue in Zephyr', and the toolset label 'Issue Links' adds context. It is clear in what it does, but it does not explicitly differentiate itself from similar siblings like zephyr_get_test_cycle_links or zephyr_get_test_executions_linked_to_a_jira_issue.

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

Usage Guidelines3/5

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

The example ('Check which test cycles are linked to Jira issue PROJ-123') implies when the tool should be used. However, there is no explicit guidance about when to choose this tool over alternatives, nor any exclusions or when-not-to-use guidance.

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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