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pipeline_generate

Generate CI/CD pipeline configuration for your project. Specify platform, language, and features to create tailored build, test, and deploy workflows.

Instructions

Generate a complete CI/CD pipeline configuration for your project

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyNo
featuresYesPipeline features to include
languageYesPrimary language/framework (e.g., 'node', 'python', 'go')
platformYesCI/CD platform
deploy_targetNoDeployment target
Behavior2/5

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

No annotations are present, so the description carries the full burden of behavioral disclosure. It only states the tool generates configuration but does not explain whether it writes files, returns a config to the user, requires an api_key for deployment features, or what 'complete' entails. This is a meaningful gap for an agent deciding how to invoke it.

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 concise sentence with no wasted words and is easy to parse quickly. It is front-loaded with the action and resource. The brevity is good, though 'complete' and 'your project' are somewhat vague and could be more specific without sacrificing concision.

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?

With no output schema and no annotations, the agent receives only a one-line outcome statement. It does not learn what artifacts are produced, how the api_key parameter is used, or how this differs from the many sibling generation tools. For a tool with five parameters and a complex domain (CI/CD), this is under-specified.

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 80%, so the schema already documents most parameters (platform, language, features, deploy_target). The description adds no parameter-level meaning beyond the schema, which matches the baseline for high coverage. The undocumented api_key parameter lacks description, but the description does not compensate for it either.

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 states a specific verb ('generate') and resource ('complete CI/CD pipeline configuration'), making the primary action clear. However, it does not explicitly differentiate from sibling tools like gha_generate_workflow or pipeline_optimize, so the agent must infer scope from the name and schema.

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 provided about when to use this tool versus alternatives such as gha_generate_workflow, pipeline_debug, or compose_generate. The phrase 'complete CI/CD pipeline configuration' weakly implies initial generation, but it never states exclusions or directs the agent to sibling tools.

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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