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harshmaur

GitLab MCP Server

by harshmaur

create_label

Create a new label in a GitLab project to organize and categorize issues with custom colors, names, and descriptions.

Instructions

Create a new label in a project

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYesProject ID or URL-encoded path
nameYesThe name of the label
colorYesThe color of the label given in 6-digit hex notation with leading '#' sign
descriptionNoThe description of the label
priorityNoThe priority of the label
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states 'Create' which implies a write operation, but doesn't cover critical aspects like required permissions, whether the operation is idempotent, error handling, or what happens on success (e.g., returns the created label object). 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 quickly, though it could be more informative given the lack of other guidance.

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 complexity of a creation tool with 5 parameters, no annotations, and no output schema, the description is incomplete. It doesn't explain the return value, error conditions, or behavioral nuances, leaving the agent with insufficient context to use the tool effectively beyond basic parameter passing.

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?

The schema description coverage is 100%, with all parameters well-documented in the schema itself (e.g., project_id, name, color with hex format). The description adds no additional parameter semantics beyond what's in the schema, so it meets the baseline of 3 where the schema does the heavy lifting without compensating for any gaps.

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 resource ('new label in a project'), making the purpose immediately understandable. It distinguishes from siblings like 'update_label' or 'delete_label' by specifying creation, though it doesn't explicitly contrast with other creation tools like 'create_issue' or 'create_branch' beyond the resource type.

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 an existing project), exclusions, or comparisons to sibling tools like 'update_label' or 'list_labels', leaving the agent to infer usage context solely from the tool name and parameters.

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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