AI agents use linear_removeIssueFromRelease 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.
Removing an issue from a release disassociates it but does not delete the issue or the release; the action is reversible by re-adding the issue. This is a modification of a relationship, fitting the Write category. Severity is medium because it can affect release planning and visibility.
From the tool's definition Remove an issue from a release
Documented attack patterns abuse exactly the kind of access linear_removeIssueFromRelease 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_removeIssueFromRelease:
{
"version": "1",
"default": "deny",
"tools": {
"linear_removeIssueFromRelease": {
"limits": [
{
"counter": "linear_removeissuefromrelease_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}linear_removeIssueFromRelease 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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Remove an issue from a release. 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_removeIssueFromRelease: 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_removeIssueFromRelease 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_removeIssueFromRelease 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_removeIssueFromRelease. 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_removeIssueFromRelease 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.