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get_label

Retrieve a specific label from a GitLab project using its ID or title to manage project organization and categorization.

Instructions

Get a single label from a project

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idNoProject ID or URL-encoded path
label_idNoThe ID or title of a project's label
include_ancestor_groupsNoInclude ancestor groups
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 'Get' implying a read operation, but doesn't disclose behavioral traits like authentication needs, rate limits, error handling, or what data is returned (e.g., label details, permissions). For a tool with no annotation coverage, this leaves significant gaps in understanding its behavior.

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 is appropriately sized and front-loaded, making it easy to parse quickly.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's low complexity (simple retrieval), high schema coverage (100%), and no output schema, the description is minimally adequate. However, with no annotations and no output schema, it should ideally provide more context about return values or behavioral constraints to be fully complete for agent 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%, so the schema already documents all three parameters (project_id, label_id, include_ancestor_groups) with clear descriptions. The description adds no additional meaning beyond the schema, such as explaining relationships between parameters or usage examples, but the baseline is 3 when schema coverage is high.

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 ('Get') and resource ('a single label from a project'), making the purpose specific and understandable. However, it doesn't differentiate from sibling tools like 'list_labels' or 'get_project', which might be relevant alternatives for retrieving label information.

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 like 'list_labels' or 'get_project' (which might include label data). It lacks context about prerequisites, such as needing a specific label ID versus browsing all labels, or when this tool is preferred over other retrieval methods.

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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