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linear_createReleasePipeline

Creates a release pipeline in Linear to manage releases across specified teams. Optionally define pipeline type, production environment, and commit inclusion patterns.

Instructions

Create a new release pipeline

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesThe name of the release pipeline
teamIdsYesThe team identifiers associated with the pipeline
typeNoThe pipeline type
slugIdNoOptional unique slug identifier for the pipeline
isProductionNoWhether the pipeline targets a production environment
includePathPatternsNoOptional glob patterns to limit matched commits by file path
Behavior2/5

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

With no annotations, the description must fully convey behavioral traits. It only states the creation action but omits any side effects (e.g., whether it triggers automation), required permissions, or potential errors. The agent lacks critical behavioral context.

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 with no wasted words. While concise, it sacrifices useful detail; however, no extraneous content exists, so it earns a high score for brevity.

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?

For a creation tool with 6 parameters and no output schema, the description is incomplete. It does not explain what a release pipeline is, what the created object represents, or how it differs from related entities. The agent must infer too much.

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?

All 6 parameters have descriptions in the schema (100% coverage), so the description adds no extra meaning. The brief description 'Create a new release pipeline' does not elaborate on how parameters relate to the operation, keeping the score at the baseline of 3.

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 action ('Create') and the resource ('release pipeline'), making the purpose immediately understandable. However, it does not differentiate from siblings like linear_createRelease or linear_createReleaseStage, which could cause confusion for an AI agent choosing between them.

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 on when to use this tool versus alternatives (e.g., creating a release or stage). There are no prerequisites, success conditions, or context about what constitutes a pipeline. This leaves the agent without direction on appropriate usage.

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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