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generate_gitlab_ci

Generates a GitLab CI pipeline configuration (YAML) to run recorded test sessions using Maven, Gradle, or pytest.

Instructions

Generate a .gitlab-ci.yml pipeline for running the recorded test session (Maven, Gradle, or pytest).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
languageNojava_maven
java_versionNo17
Behavior2/5

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

No annotations are provided, so the description must cover behavioral aspects. It fails to mention any side effects (e.g., file creation location), prerequisites, or limitations of the generated pipeline. The tool's behavior during generation and what configurations are required is not disclosed.

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 sentence that efficiently conveys the tool's purpose and the supported build tools. No unnecessary words; it is appropriately sized for the tool's simplicity.

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?

Given the simple functionality and the fact that no output schema exists, the description provides the essential information. It could mention what happens with the generated pipeline (e.g., saved to file), but overall it is sufficiently complete for a generation tool with few parameters.

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?

The description lists the build tools (Maven, Gradle, pytest) which maps to the 'language' enum. However, it does not explain the 'java_version' parameter or its relation to the language. With 0% schema description coverage, the description partially compensates but lacks depth.

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 'generate', the specific resource '.gitlab-ci.yml pipeline', and the context 'recorded test session'. It distinguishes from sibling tools that generate pipelines for other CI systems like GitHub Actions or Jenkins.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides clear context for when to use this tool (when generating a GitLab CI pipeline for recorded tests). However, it does not explicitly state when not to use it or mention alternative tools for other CI systems.

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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