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linear_create_issue

Create new issues in Linear with title, description, team assignment, and optional details like priority or estimates to track project tasks.

Instructions

Create a new issue in Linear

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
titleYesIssue title
descriptionYesIssue description
teamIdYesTeam ID
assigneeIdNoAssignee user ID
priorityNoIssue priority (0-4)
estimateNoIssue estimate points (typically 1, 2, 3, 5, 8, etc.)
projectIdNoProject ID
createAsUserNoName to display for the created issue
displayIconUrlNoURL of the avatar to display
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states 'Create a new issue' but doesn't mention whether this requires authentication, what permissions are needed, if it's idempotent, what happens on failure, or the typical response format. For a mutation tool with zero annotation coverage, this leaves significant gaps in understanding its behavior.

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, clear sentence with zero waste—it directly states the tool's action without unnecessary elaboration. It's appropriately sized and front-loaded, making it easy to parse quickly.

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 mutation tool with 9 parameters, no annotations, and no output schema, the description is inadequate. It doesn't cover authentication requirements, error handling, or return values, and it fails to differentiate from sibling tools. Given the complexity and lack of structured data, more context is needed for effective use.

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 100%, so the schema already documents all 9 parameters thoroughly. The description adds no additional parameter semantics beyond what's in the schema, such as explaining relationships between parameters (e.g., teamId vs. projectId) or usage tips. Baseline 3 is appropriate when the schema does the heavy lifting.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states the verb ('Create') and resource ('new issue in Linear'), which clarifies the basic purpose. However, it doesn't differentiate this tool from sibling tools like 'linear_create_issues' or 'linear_create_project_with_issues', leaving ambiguity about when to use this single-issue creation tool versus batch alternatives.

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 like 'linear_create_issues' (for bulk creation) or 'linear_create_project_with_issues' (for project-linked creation). The description lacks any context about prerequisites, such as authentication or team setup, or when this tool is preferred over siblings.

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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