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rokrokss
by rokrokss

list_labels

Retrieve GitLab labels for a project to categorize issues and merge requests. Optionally filter by keyword, include issue/MR counts, or include ancestor groups.

Instructions

List labels for a project

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
searchNoKeyword to filter labels by
project_idNoProject ID or URL-encoded path
with_countsNoWhether or not to include issue and merge request counts
include_ancestor_groupsNoInclude ancestor groups

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv2.0.35

TDQS

B3.2/5.0
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 only says 'List labels' and does not mention pagination, result shape, read-only guarantees, or any other behavioral traits.

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, front-loaded sentence with no wasted words. It directly communicates the core operation without filler or repetition.

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?

With no annotations and no output schema, the one-line description is too thin to fully equip an agent. It does not explain what a successful response looks like, whether results are paginated, or what the behavioral implications of the optional parameters are beyond their schema descriptions.

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%, so the input schema already documents all four parameters well. The description itself adds no parameter-level meaning beyond the implicit 'project' scope, which is already captured by project_id.

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

Purpose5/5

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

The description states a specific verb and resource: list labels for a project. It clearly distinguishes this from sibling CRUD tools like get_label, create_label, update_label, and delete_label by focusing on the plural listing action.

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 explicit guidance is provided about when to use this tool versus alternatives such as get_label or list_milestones. The intended context must be inferred entirely from the tool name and the words 'for a project'.

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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