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boj_gitlab_create_issue

Create GitLab issues to track tasks, bugs, or feature requests in your project. Specify project ID, title, and optional description to organize development work.

Instructions

Create a GitLab issue

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYes
titleYes
descriptionNo

Implementation Reference

  • The implementation of the `boj_gitlab_create_issue` tool, which calls `gitlabApiCall` to create an issue on a specified GitLab project.
    case "boj_gitlab_create_issue":
      return gitlabApiCall("POST", `/projects/${encodeURIComponent(args.project_id)}/issues`, { title: args.title, description: args.description });
Behavior2/5

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

With no annotations, the description carries full burden but only states the action without behavioral details. It doesn't disclose if this requires authentication, has rate limits, returns an issue ID, or what happens on failure. For a mutation tool, this lack of transparency is a significant gap.

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?

The description is a single, efficient sentence with no wasted words. It's front-loaded and appropriately sized for its content, though brevity contributes to under-specification rather than clarity.

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 a mutation tool with 3 parameters, 0% schema coverage, no annotations, and no output schema, the description is incomplete. It lacks details on behavior, parameters, and expected outcomes, making it inadequate for effective tool use.

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

Parameters1/5

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

Schema description coverage is 0%, and the description adds no parameter information. It doesn't explain what 'project_id', 'title', or 'description' mean, their formats, or constraints. With 3 parameters undocumented, this fails to compensate for the schema gap.

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

Purpose3/5

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

The description 'Create a GitLab issue' clearly states the action (create) and resource (GitLab issue), but it's vague about scope and lacks differentiation from sibling tools like boj_github_create_issue. It doesn't specify what an 'issue' entails in GitLab context, making it minimally adequate but with gaps.

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. It doesn't mention prerequisites (e.g., authentication), compare to siblings like boj_gitlab_list_issues or boj_github_create_issue, or indicate when not to use it. This leaves the agent without contextual usage direction.

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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