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albertor03

Jira QMetry MCP Server

by albertor03

Update a Qmetry test plan

update-qmetry-test-plan

Update the details of an existing test plan in QMetry for Jira. Modify fields like summary, priority, status, labels, and custom fields.

Instructions

Update an existing test plan

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesTest Plan Id, refer id from response of API "search Test Plans"
labelsNoRefer ids from the response of API "Get Labels". Will be sent as {add: [labelId1, ...]} to API
statusNoStatus Id
summaryNoTest Plan Summary
folderIdNoThe ID of the folder
priorityNoPriority Id
reporterNoPass Jira user account uuid
descriptionNoTest Plan description
customFieldsNoCustom fields as array of objects with id and value. Refer to "Get Test Plan Custom Fields" to get available custom fields.
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure, but it only says 'update', implying mutation. It does not explain authorization needs, idempotency, error handling, or any side effects.

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

Conciseness2/5

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

The description is extremely concise but lacks structure; it is just a single phrase. It does not front-load key information and is too minimal to be considered well-crafted.

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

Completeness1/5

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

For a tool with 9 parameters, no output schema, and no annotations, the description provides almost no context. It is completely inadequate for understanding the tool's behavior, return value, or usage scenarios.

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 parameters. The description adds no further meaning, so baseline score of 3 applies.

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 the action: 'Update an existing test plan'. It uses a specific verb ('update') and resource ('test plan'), and distinguishes from sibling tools like 'create-qmetry-test-plan' and 'archive-qmetry-test-plan'.

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 vs alternatives, no prerequisites, no conditions for use. Only states the basic action without any contextual advice.

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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