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magarcia

Linear MCP Server

linear_create_issue

Create a new issue in Linear's project management system by providing a title, team ID, description, priority, status, and assignee to track work items effectively.

Instructions

Create a new Linear issue

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
assigneeIdNoUser ID to assign the issue to
descriptionNoIssue description (markdown supported)
priorityNoPriority level (0-4), where 0=no priority, 1=urgent, 4=low
statusNoInitial status name (e.g., 'Todo', 'In Progress')
teamIdYesTeam ID to create issue in
titleYesIssue title
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 but only states the basic action ('Create a new Linear issue'). It doesn't mention authentication requirements, rate limits, what happens when creation fails, whether this is a mutating operation, or any side effects. For a creation tool with zero annotation coverage, this is insufficient.

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, efficient sentence that gets straight to the point with zero waste. It's appropriately sized for a basic creation operation and front-loads the essential information without unnecessary elaboration.

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, no annotations, and no output schema, the description is inadequate. It doesn't explain what happens after creation, what the tool returns, error conditions, or how it differs from sibling tools. Given the complexity and lack of structured data, the description should provide more complete context.

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 schema description coverage is 100%, so the schema already documents all 6 parameters thoroughly. The description adds no additional parameter information beyond what's in the schema. According to the scoring rules, when schema coverage is high (>80%), the baseline is 3 even with no param info in the description.

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 'Create a new Linear issue' clearly states the verb ('Create') and resource ('Linear issue'), making the purpose immediately understandable. However, it doesn't distinguish this tool from its sibling 'linear_update_issue' or explain what differentiates creation from updating, which prevents a perfect score.

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?

The description provides no guidance on when to use this tool versus alternatives like 'linear_update_issue' or 'linear_search_issues'. There's no mention of prerequisites, constraints, or appropriate contexts for creating issues versus other operations, leaving the agent with minimal usage direction.

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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