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Foxhunt

GitLab MCP Server

by Foxhunt

Edit Issue

gitlab_edit_issue

Edit an existing GitLab issue by updating its title, description, labels, assignees, state, or confidentiality.

Instructions

Edit an existing issue in a project

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
titleNoThe title of an issue
labelsNoComma-separated label names for an issue
issueIidYesThe internal ID of a project's issue
projectIdYesThe ID or URL-encoded path of the project
descriptionNoThe description of an issue
state_eventNoState event for an issue (close or reopen)
assignee_idsNoThe IDs of the users to assign the issue to
confidentialNoSet an issue to be confidential
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It only says 'Edit an existing issue' without explaining whether updates are partial or full, what permissions are needed, or any side effects. It does not disclose the mutation behavior beyond the act of editing.

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

Conciseness5/5

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

The description is a single, front-loaded sentence with no redundant content. Every word adds value, making it efficient and easy to parse.

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?

For an 8-parameter mutation tool with no annotations and no output schema, the description is too sparse. It does not explain behavior, required context (e.g., issue must exist), return values, or when to use it relative to other issue tools. More context is needed for an agent to invoke it 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%, so the baseline is 3. The description adds no additional parameter semantics beyond what the schema already provides, but it does not need to since all parameters are documented.

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 uses a specific verb ('Edit') and clearly identifies the resource ('existing issue in a project'), distinguishing it from sibling tools like create_issue, get_issue, and edit_issue_note. It unambiguously states the core action.

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 is provided on when to use this tool versus alternatives. The context is only implied by the name and description; there is no explicit mention of prerequisites, exclusions, or when to prefer this over create_issue or get_issue.

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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