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delete_issue

Remove issues from GitLab projects by specifying project ID and issue internal ID to manage project workflows.

Instructions

Delete an issue from a GitLab project

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idNoProject ID or URL-encoded path
issue_iidNoThe internal ID of the project issue

Implementation Reference

  • Input schema definition for the 'delete_issue' MCP tool, specifying required parameters: project_id and issue_iid for deleting a GitLab issue.
    export const DeleteIssueSchema = z.object({
      project_id: z.coerce.string().describe("Project ID or URL-encoded path"),
      issue_iid: z.coerce.string().describe("The internal ID of the project issue"),
    });
Behavior2/5

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

No annotations are provided, so the description carries full burden. It states the action is 'Delete' which implies a destructive mutation, but doesn't disclose critical behavioral traits: whether deletion is permanent/reversible, what permissions are required, if it affects linked resources (e.g., notes, discussions), or what the response looks like. For a destructive tool with zero annotation coverage, this 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.

Conciseness5/5

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

The description is a single, efficient sentence with zero wasted words. It's appropriately sized for a simple tool and front-loaded with the essential action and resource.

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 destructive mutation tool with no annotations and no output schema, the description is incomplete. It lacks crucial context: behavioral details (permanence, permissions, side effects), usage guidelines, and expected outcomes. While concise, it doesn't provide enough information 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%, with both parameters ('project_id', 'issue_iid') clearly documented in the schema. The description doesn't add any parameter-specific information beyond what the schema already provides, so it meets the baseline of 3 when 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 ('Delete') and resource ('an issue from a GitLab project'), providing specific verb+resource. However, it doesn't differentiate from sibling tools like 'delete_issue_link' or 'delete_label', which are also deletion operations on different resources.

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. There's no mention of prerequisites (e.g., needing appropriate permissions), when not to use it (e.g., for bulk deletion), or comparison to siblings like 'delete_issue_link' or general deletion patterns.

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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