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albertor03

Jira QMetry MCP Server

by albertor03

Update a Qmetry test case

update-qmetry-test-case

Update a QMetry test case by specifying its id and version number to modify fields such as status, priority, assignee, description, and more.

Instructions

Update a Qmetry test case

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesRefer id from the response of API "Search Test Case".
noYesTest Case version No. Refer {version.versionNo} from the response of API "Search Test Case".
labelsNoRefer id from the response of API "Get labels".
sprintNoJira sprint ID
statusNoRefer id from the response of API "Get Statuses" for its module.
foldersNoRefer id from the response of API "Get test case folders".
summaryNoName of Test Case.
assigneeNoJira user Account ID
priorityNoRefer id from the response of API "Get Priorities".
descriptionNoDescription of Test Case
isAutomatedNoWhether testcase is automated or not - true or false
customFieldsNoCustom fields JSON object with field IDs as keys. Refer to "Get Test Case Custom Fields" to get available custom fields.
preconditionNoprecondition of Test Case
estimatedTimeNoPass string in HH:MM:SS format
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It does not mention side effects (e.g., whether existing data is overwritten or merged), required permissions, idempotency, or response behavior. The description is insufficient for safe invocation.

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

Conciseness3/5

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

The description is a single sentence, which is concise, but it is too brief and lacks structure. It front-loads the purpose but fails to include other necessary information. The conciseness is acceptable but not optimal.

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?

With 14 parameters, no output schema, and no annotations, the description is inadequate. It does not explain what the tool returns, how errors are handled, or provide context on how to obtain values for parameters like custom fields or statuses. The schema covers parameter semantics, but overall guidance is missing.

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 input schema already details all 14 parameters. The description adds no additional meaning beyond what is in the schema, meeting the baseline of 3.

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

Purpose2/5

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

Tautological: description restates name/title.

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 on when to use this tool versus alternatives such as 'add-test-case-version' or 'clone-qmetry-test-case'. There is no mention of prerequisites, when not to use, or which parameters are for partial updates.

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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