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Zephyr: Create Test Cycle

zephyr_create_test_cycle

Create a test cycle in a Jira project to schedule and manage testing activities. Configure dates, status, folder, owner, and custom fields.

Instructions

Create a new Test Cycle in Zephyr specified project

Toolset: Test Cycles

Parameters:

  • projectKey (string) required: Jira project key.

  • name (string) required

  • description (string): Description outlining the scope.

  • plannedStartDate (string): Planned start date of the test cycle. Format: yyyy-MM-dd'T'HH:mm:ss'Z'

  • plannedEndDate (string): The planned end date of the test cycle. Format: yyyy-MM-dd'T'HH:mm:ss'Z'

  • jiraProjectVersion (number): Jira Project Version ID. Relates to 'Version' or 'Releases' in Jira projects.

  • statusName (string): The status name.

  • folderId (number): ID of a folder to place the entity within.

  • ownerId (string): Atlassian Account ID of the Jira user.

  • customFields (record<string, any>): Multi-line text fields support HTML and should denote new lines with the <br> tag. Dates should be in the format 'yyyy-MM-dd'. Users should have values of Jira User Account IDs.

Examples:

  1. Create a Test Cycle in project SA to ensure that the axial pump can be enabled

{
  "projectKey": "SA",
  "name": "Check axial pump",
  "description": "Ensure the axial pump can be enabled"
}

Expected Output: The newly created Test Cycle with its details and key

  1. Create a Test Cycle to ensure that the axial pump can be enabled. The test cycle should be in project MM2, have status 'In Progress', and be planned from 2026-03-01 to 2026-03-10

{
  "projectKey": "MM2",
  "name": "Check axial pump",
  "description": "Ensure the axial pump can be enabled",
  "statusName": "In Progress",
  "plannedStartDate": "2026-03-01T00:00:00Z",
  "plannedEndDate": "2026-03-10T00:00:00Z"
}

Expected Output: The newly created Test Cycle with its details and key

  1. Create a Test Cycle for verifying strength of the axial pump with custom field 'Axial pump strength' having value '5' in project SA

{
  "projectKey": "SA",
  "name": "Check axial pump strength",
  "description": "Make sure the axial pump operates at the required strength",
  "customFields": {
    "Axial pump strength": 5
  }
}

Expected Output: The newly created Test Cycle with its details and key

  1. Create a Test Cycle in project MM2 to verify the performance of the axial pump with Jira Project Version ID 10001, owner Atlassian Account ID '12', in folder with ID 18

{
  "projectKey": "MM2",
  "name": "Check axial pump performance",
  "description": "Ensure the axial pump performs within acceptable limits",
  "jiraProjectVersion": 10001,
  "ownerId": "12",
  "folderId": 18
}

Expected Output: The newly created Test Cycle with its details and key

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
ownerIdNoAtlassian Account ID of the Jira user.
folderIdNoID of a folder to place the entity within.
projectKeyYesJira project key.
statusNameNoThe status name.
descriptionNoDescription outlining the scope.
customFieldsNoMulti-line text fields support HTML and should denote new lines with the \<br\> tag. Dates should be in the format 'yyyy-MM-dd'. Users should have values of Jira User Account IDs.
plannedEndDateNoThe planned end date of the test cycle. Format: yyyy-MM-dd'T'HH:mm:ss'Z'
plannedStartDateNoPlanned start date of the test cycle. Format: yyyy-MM-dd'T'HH:mm:ss'Z'
jiraProjectVersionNoJira Project Version ID. Relates to 'Version' or 'Releases' in Jira projects.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNoThe ID of the entity
keyNo
selfNo
Behavior3/5

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

Annotations provide readOnlyHint=false, destructiveHint=false, so description adds minimal new behavioral info. It does mention return value ('newly created Test Cycle with its details and key') in examples, which partially compensates.

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?

Well-structured with sections for toolset, parameters, and examples. However, the parameter list repeats schema details, and examples are lengthy. Could be more concise.

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?

Covers purpose, key parameters, and usage via examples. With an output schema present, description doesn't need to detail returns but does mention them. Lacks error handling or prerequisites but sufficient for typical 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 90%, so baseline is 3. The description adds format hints for dates and custom fields, but largely duplicates schema info. Examples provide context but don't significantly enhance parameter understanding beyond the schema.

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 'Create a new Test Cycle in Zephyr specified project' with specific verb and resource. Examples further reinforce the purpose. It distinguishes from sibling tools like update or get test cycles.

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 explicit guidance on when to use this tool versus alternatives (e.g., update, get). No prerequisites or exclusions mentioned. The toolset label is insufficient for decision-making.

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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