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create_issue

Create new issues in GitLab projects to track bugs, tasks, or incidents with titles, descriptions, assignees, labels, and milestones.

Instructions

Create a new issue in a GitLab project

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idNoProject ID or complete URL-encoded path to project
titleYesIssue title
descriptionNoIssue description
assignee_idsNoArray of user IDs to assign
labelsNoArray of label names
milestone_idNoMilestone ID to assign
issue_typeNothe type of issue. One of issue, incident, test_case or task.issue
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool creates an issue, implying a write operation, but doesn't mention permissions needed, whether it's idempotent, error handling, or what the response looks like. For a mutation tool with zero annotation coverage, this leaves significant gaps in understanding its behavior.

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, efficient sentence that directly states the tool's purpose without any wasted words. It's appropriately sized and front-loaded, making it easy to understand at a glance.

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?

Given the tool has 7 parameters, no annotations, and no output schema, the description is incomplete. It doesn't address behavioral aspects like authentication, error cases, or return values, which are crucial for a mutation tool in a complex system like GitLab. The description alone is insufficient for safe and effective 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 100%, meaning all parameters are documented in the input schema. The description adds no additional information about parameters beyond what's in the schema, such as examples or constraints. Baseline score of 3 is appropriate when the schema does the heavy lifting.

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

Purpose4/5

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

The description clearly states the action ('create a new issue') and the resource ('in a GitLab project'), which is specific and unambiguous. However, it doesn't distinguish this tool from sibling tools like 'create_merge_request' or 'create_label', which also create resources in GitLab projects, so it doesn't fully differentiate from alternatives.

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?

The description provides no guidance on when to use this tool versus alternatives like 'create_merge_request' or 'update_issue', nor does it mention prerequisites such as project access or authentication requirements. It's a basic statement of function without contextual usage 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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