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QTM4J: Link Requirements to Test Case

qtm4j_link_requirements_to_test_case

Link Jira requirements to a test case by requirement keys or JQL filter to establish traceability between requirements and test cases.

Instructions

Link one or more Jira requirements to a test case in QTM4J by requirement keys or JQL filter. Requirement keys are resolved to internal IDs automatically.

Toolset: Test Cases

Parameters:

  • key (string) required: Test case key in '{PROJECT_KEY}-TC-{number}' format (e.g., 'SCRUM-TC-145'). Required.

  • versionNo (number): Test case version number. Defaults to the latest version.

  • requirementKeys (array): List of requirement keys to link (e.g., ['SCRUM-1', 'SCRUM-2']). Resolved to internal IDs automatically. Provide this OR filter.jql — not both.

  • filter (object): JQL filter to select requirements to link. Use instead of requirementKeys when filtering by JQL.

Output Description: Confirmation with the test case key, version number, and linked: true. Warnings are included if any requirements could not be resolved or linked.

Use Cases: 1. Link one or more Jira requirements (stories, bugs, epics) to a test case 2. Associate requirements with a test case using a JQL filter 3. Build traceability between requirements and test cases 4. Link requirements to a specific test case version

Examples:

  1. Link two requirements by key

{
  "key": "SCRUM-TC-145",
  "requirementKeys": [
    "SCRUM-1",
    "SCRUM-2"
  ]
}

Expected Output: Requirements SCRUM-1 and SCRUM-2 linked to test case

  1. Link requirements by JQL filter

{
  "key": "SCRUM-TC-145",
  "filter": {
    "jql": "project = DEMO AND issuetype = Story"
  }
}

Expected Output: Requirements matched by JQL linked to test case

  1. Link a requirement to a specific version

{
  "key": "SCRUM-TC-85",
  "versionNo": 2,
  "requirementKeys": [
    "SCRUM-10"
  ]
}

Expected Output: Requirement linked to version 2 of test case

Hints: 1. PREREQUISITE: set_project_context must be called before this tool. NEVER auto-select a project. 2. KEY FORMAT: '{PROJECT_KEY}-TC-{number}' — e.g. 'SCRUM-TC-145'. 3. Requirement keys follow the Jira issue key format: '{PROJECT_KEY}-{number}' (e.g. 'SCRUM-1'). 4. Provide either requirementKeys or filter.jql — not both. 5. If a requirement key cannot be resolved or linked, it is reported in warnings and other requirements are still linked. 6. versionNo defaults to the latest version. Use search_test_cases to find available versions if needed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keyYesTest case key in '{PROJECT_KEY}-TC-{number}' format (e.g., 'SCRUM-TC-145'). Required.
filterNoJQL filter to select requirements to link. Use instead of requirementKeys when filtering by JQL.
versionNoNoTest case version number. Defaults to the latest version.
requirementKeysNoList of requirement keys to link (e.g., ['SCRUM-1', 'SCRUM-2']). Resolved to internal IDs automatically. Provide this OR filter.jql — not both.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
keyYes
linkedYes
versionNoYes
Behavior4/5

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

Annotations indicate non-read-only, non-destructive. Description adds that keys are auto-resolved and warnings are included. No contradiction. Additional behavioral context could include idempotency or side effects, but current info is sufficient.

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 into sections (description, parameters, output, use cases, examples, hints). Front-loaded with core purpose. Some repetition between description and schema, but overall concise and organized.

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

Completeness5/5

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

Given the tool's complexity (4 params, 1 required, nested objects, output schema exists), the description covers prerequisites, key formats, mutual exclusivity, warnings, and examples. Appears complete for correct agent usage.

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

Parameters4/5

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

Schema coverage is 100% (all parameters described). Description adds value by clarifying mutual exclusivity of requirementKeys and filter, automatic resolution of keys, and default versionNo. This exceeds the baseline 3.

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 it links Jira requirements to a test case, using either requirement keys or JQL filter. The title is explicit, and it distinguishes from sibling tools like qtm4j_link_requirements_to_test_cycle.

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 explicitly states the prerequisite (set_project_context), mutual exclusivity of requirementKeys and filter.jql, and provides use cases. It lacks explicit when-not-to-use guidance but is otherwise clear.

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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