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list_labels

Retrieve and filter labels for a GitLab project to organize issues and merge requests, optionally including counts and ancestor group labels.

Instructions

List labels for a project

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idNoProject ID or URL-encoded path
with_countsNoWhether or not to include issue and merge request counts
include_ancestor_groupsNoInclude ancestor groups
searchNoKeyword to filter labels by
Behavior2/5

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

With no annotations provided, the description carries full burden but offers minimal behavioral insight. It doesn't disclose whether this is a read-only operation, what permissions are needed, how results are returned (e.g., pagination), or error conditions. 'List' implies a safe read, but this isn't explicitly stated.

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 front-loaded with the core purpose and appropriately sized for a straightforward list operation.

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?

For a read-only list tool with full schema coverage but no annotations or output schema, the description is minimally adequate. It states what the tool does but lacks behavioral context (e.g., pagination, permissions) and usage guidance, leaving gaps for an agent to infer.

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 fully documents all four parameters. The description adds no additional parameter context beyond implying a 'project' scope, which is already covered by the 'project_id' parameter in the schema. Baseline 3 is appropriate 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 verb ('List') and resource ('labels for a project'), making the purpose immediately understandable. It doesn't differentiate from sibling tools like 'get_label' (singular) or 'create_label', but the basic action is unambiguous.

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. There's no mention of sibling tools like 'get_label' (for a single label) or 'create_label', nor any context about prerequisites or typical use cases for listing labels.

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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