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chntif
by chntif

gitlab_delete_label

Delete a label from a GitLab project by providing the project ID and the label name.

Instructions

Delete a project label (/projects/:id/labels/:label_id).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idNoGitLab project ID. Omit this field unless the user explicitly provided a value. When omitted, the tool tries the current runtime config defaults from WORKFLOW_ISSUE_PROJECT_ID or WORKFLOW_CODE_PROJECT_ID. If both are unset, or both are set to different values, the tool returns a missing-parameter error and you must pass project_id explicitly. Do not infer or auto-generate this value.
label_nameNoLabel name to delete.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okYesWhether the tool call succeeded.
toolYesTool name.
dataNoLabel deletion result payload.
error_typeNoError type when ok=false.
messageNoError message when ok=false.
Behavior2/5

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

No annotations are present, so the description carries full burden. It only states the action and API path, without disclosing side effects (e.g., permanence, permission requirements, or impact on issues). This is insufficient for an agent to understand behavioral implications.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, short sentence that efficiently conveys the core action without extraneous words. It is well front-loaded.

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 deletion action and absence of annotations, the description lacks important context such as idempotency, error conditions, or whether deletion is reversible. Although an output schema exists (not shown), the description does not address the tool's overall completeness for an AI agent.

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 coverage is 100% with detailed parameter descriptions, including fallback logic for project_id. The tool description adds no extra semantic meaning beyond what the schema already provides, so baseline 3 is appropriate.

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 clearly states the verb ('Delete') and resource ('project label'), and includes the API endpoint for additional clarity. Among sibling tools like gitlab_create_label and gitlab_update_label, the purpose is unmistakable.

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 does not provide explicit guidance on when to use this tool versus alternatives. There is no mention of appropriate contexts, prerequisites, or situations where this tool should be avoided. The usage is only implied by the action name.

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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