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.
Assigning an issue to a user modifies metadata/state of an existing issue but does not delete data or execute arbitrary code. The action is reversible (can be reassigned or unassigned). While it affects project workflows, the blast radius is limited to issue assignments within a single project management system, making it Write severity rather than higher categories.
From the tool's definition Tool name 'linear_assignIssue' and description 'Assign an issue to a user' indicate modification of an issue's assignee field. This is a reversible state change within the Linear project management system.
Documented attack patterns abuse exactly the kind of access linear_assignIssue gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Linear, and nothing reaches the server without passing your rules. This is the rule we recommend for linear_assignIssue:
{
"version": "1",
"default": "deny",
"tools": {
"linear_assignIssue": {
"limits": [
{
"counter": "linear_assignissue_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}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.
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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.
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 (tacticlaunch/mcp-linear). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 182 Linear tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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182 Linear tools catalogued and risk-classified — across an index of 42,500+ MCP servers.