This record as markdown: /tools/linear/create-issue.md
What create_issue does on Linear
AI agents use create_issue to create or update resources in Linear, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Linear environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
team | string | — | The team name or ID |
cycle | string | — | The cycle name, number, or ID to add the issue to |
links | array | — | Array of link objects to attach to the issue. Each object must contain a valid `url` and a non-empty `title`. |
state | string | — | The issue state type, name, or ID |
title | string | — | The issue title |
labels | array | — | Array of label names or IDs to set on the issue (you can use label names directly, no need to look up IDs) |
dueDate | string | — | The due date for the issue in ISO format |
project | string | — | The project name or ID to add the issue to |
assignee | string | — | The assignee name, displayName, or ID to assign |
delegate | string | — | The agent name, displayName, or ID to delegate |
parentId | string | — | The parent issue ID, if this is a sub-issue |
priority | number | — | The issue priority. 0 = No priority, 1 = Urgent, 2 = High, 3 = Normal, 4 = Low. Do not set this field unless explicitly requested. |
Parameters from the server's own tool schema.
Why create_issue is rated Medium
This tool creates a new issue in Linear, which is a reversible write operation. It modifies the system state by adding a new record but does not delete data or execute arbitrary commands. Severity is medium because bulk creation or misconfiguration could clutter the issue tracker and require remediation, but individual issues can be deleted if created in error.
From the tool's definition Tool name is 'create_issue' with description 'Create a new Linear issue' — explicitly creates a new data entity.
Risk signalsAccepts URL/endpoint input (links[].url) · High parameter count (15 properties)
Attacks that exploit this kind of access
The rule that runs create_issue safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Linear, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For create_issue, this is the rule to start with:
create_issue stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Linear, apply this rule, and every create_issue call is checked against it from then on.
Questions about create_issue
Create a new Linear issue. It is categorised as a Write tool in the Linear MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
create_issue accepts 12 parameters: team, cycle, links, state, title, labels, dueDate, project, assignee, delegate, parentId, priority. The full parameter table on this page comes from the server's own tool schema.
Register the Linear MCP server in PolicyLayer and add a rule for create_issue: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Linear. Nothing to install.
create_issue is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the create_issue rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for create_issue. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
create_issue is provided by the Linear MCP server (@linear-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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