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gitlab_get_job_log

Fetch the raw log output of a GitLab CI job. Optionally limit lines with the tail parameter.

Instructions

Fetch the raw log output of a CI job.

Args: job_id: The numeric job ID. project_path: GitLab project path, e.g. 'group/project'. tail: Return only the last N lines (default 100, 0 = all lines).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tailNo
job_idYes
project_pathNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations, the description does not disclose behavioral traits such as read-only nature, rate limits, or error conditions. It only describes parameters but does not address what happens if the job is not finished or if the log is large.

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 extremely concise: a one-line purpose followed by a clear argument list. Every sentence adds value with no fluff, and the structure front-loads the purpose.

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

Completeness4/5

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

For a simple fetch tool with an output schema, the description covers purpose and all parameters adequately. It does not mention error handling or preconditions, but these are not critical for basic usage.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 0% description coverage, so the description compensates by explaining all three parameters. It provides the format for job_id, an example for project_path, and default/meaning for tail. However, project_path explanation could be more precise.

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 tool fetches the raw log output of a CI job, providing a specific verb and resource. It distinguishes from sibling tools like gitlab_get_job, which likely retrieves job metadata, making the purpose 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?

No guidance is given on when to use this tool versus alternatives like gitlab_get_job or gitlab_list_jobs. The description is purely functional and lacks context for selection.

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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