This record as markdown: /tools/linear/linear-assignissue.md
What linear_assignIssue does on Linear
AI agents use linear_assignIssue 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 |
|---|---|---|---|
issueId | string | — | ID or identifier of the issue to assign (e.g., ABC-123) |
assigneeId | string | — | ID of the user to assign the issue to, or null to unassign |
Parameters from the server's own tool schema.
Why linear_assignIssue is rated Medium
This tool modifies an existing issue's assignee property, which is a reversible change to issue metadata. It does not create new data (Write, not Execute) and does not permanently delete anything (not Destructive). The blast radius is medium because incorrect assignment could misdirect work, but the change is easily reversible.
From the tool's definition Tool name 'assignIssue' and description 'Assign an issue to a user' indicate modification of issue state by changing the assignee field.
Attacks that exploit this kind of access
The rule that runs linear_assignIssue 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 linear_assignIssue, this is the rule to start with:
linear_assignIssue 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 linear_assignIssue call is checked against it from then on.
Questions about linear_assignIssue
Assign an issue to a user. 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.
linear_assignIssue accepts 2 parameters: issueId, assigneeId. 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 linear_assignIssue: 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.
linear_assignIssue 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 linear_assignIssue 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 linear_assignIssue. 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.
linear_assignIssue 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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