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gitlab_create_trigger_token

Generate a pipeline trigger token for GitLab projects to initiate CI/CD workflows. Specify the project ID and a description to create and manage automation triggers.

Instructions

Create a new pipeline trigger token

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
descriptionYesThe trigger description
project_idYesThe ID or URL-encoded path of the project

Implementation Reference

  • The main handler function that implements the logic for the 'gitlab_create_trigger_token' tool. It extracts parameters, validates project_id, calls the CI/CD manager to create the trigger token, and formats the response.
    export const createTriggerToken: ToolHandler = async (params, context) => {
      const { project_id, description } = params.arguments || {};
      if (!project_id) {
        throw new McpError(ErrorCode.InvalidParams, 'project_id is required');
      }
      
      const data = await context.ciCdManager.createTriggerToken(project_id as string | number, description as string);
      return formatResponse(data);
    };
  • The input schema and metadata definition for the 'gitlab_create_trigger_token' tool, including description and required parameters.
    {
      name: 'gitlab_create_trigger_token',
      description: 'Create a new pipeline trigger token',
      inputSchema: {
        type: 'object',
        properties: {
          project_id: {
            type: 'string',
            description: 'The ID or URL-encoded path of the project'
          },
          description: {
            type: 'string',
            description: 'The trigger description'
          }
        },
        required: ['project_id', 'description']
      }
    },
  • The registration entry in the tool registry that maps the tool name 'gitlab_create_trigger_token' to its handler function.
    gitlab_create_trigger_token: cicdHandlers.createTriggerToken,
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 'Create' which implies a write operation, but doesn't cover critical aspects like authentication requirements, rate limits, whether the token is immediately usable, or what happens on failure. For a mutation tool with zero annotation coverage, this is a significant gap in transparency.

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 unnecessary words. It's front-loaded with the core action and resource, making it easy to parse. Every word earns its place, achieving optimal conciseness.

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's complexity as a write operation with no annotations and no output schema, the description is incomplete. It lacks information about the return value (e.g., the created token), error conditions, or behavioral context. For a creation tool in a GitLab context, this leaves significant gaps for an agent to operate effectively.

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' and 'description') clearly documented in the schema. The description adds no additional parameter semantics beyond implying the creation of a 'pipeline trigger token', which is already evident from the tool name. This meets the baseline score 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') and the resource ('a new pipeline trigger token'), making the purpose immediately understandable. However, it doesn't differentiate this tool from sibling tools like 'gitlab_update_trigger_token' or 'gitlab_delete_trigger_token' beyond the basic verb, missing an opportunity to clarify its specific role in the token lifecycle.

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. It doesn't mention prerequisites (e.g., needing a project), related tools like 'gitlab_list_trigger_tokens' for existing tokens, or exclusions (e.g., not for updating/deleting tokens). This leaves the agent with minimal context for selection.

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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