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dvcrn

Linear MCP Server

by dvcrn

linear_create_issues

Create multiple Linear issues simultaneously by providing titles, descriptions, and team IDs. Optionally assign labels, priorities, and parent issues.

Instructions

Create multiple issues at once

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
issuesYesList of issues to create
Behavior2/5

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

No annotations are provided, so the description must disclose all behavioral traits. It only states 'create multiple issues at once' but does not address aspects like batch limits, partial failures, idempotency, authentication requirements, or error handling.

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 phrase that is front-loaded with key information. It contains no fluff, though it could be slightly more structured with a sentence format. Overall, it earns its place.

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?

Given the tool's batch nature and lack of output schema, the description should explain expected return values, ordering guarantees, and error behavior. It omits these details, making it incomplete for an agent to understand side effects and results.

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%, with each parameter already documented. The description adds no additional parameter-level context beyond the schema, such as relationships between parameters or special constraints. Baseline 3 is appropriate.

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 tool creates multiple issues at once, which distinguishes it from the sibling tool linear_create_issue that creates a single issue. The verb 'create' and resource 'issues' are specific, and the qualifier 'at once' indicates batch behavior.

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_create_issue. It does not mention any context, prerequisites, or exclusions, leaving the agent to infer usage from the parameter schema alone.

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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