AI agents use linear_unarchiveReleasePipeline 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.
This tool modifies data by changing the archive status of a release pipeline from archived to unarchived. This is a reversible operation (can be re-archived), so it qualifies as Write rather than Destructive.
From the tool's definition Tool name 'linear_unarchiveReleasePipeline' and description 'Unarchive a release pipeline' indicate a state change operation that restores an archived release pipeline to active status.
Documented attack patterns abuse exactly the kind of access linear_unarchiveReleasePipeline 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_unarchiveReleasePipeline:
{
"version": "1",
"default": "deny",
"tools": {
"linear_unarchiveReleasePipeline": {
"limits": [
{
"counter": "linear_unarchivereleasepipeline_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}linear_unarchiveReleasePipeline 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.
Free to start. No card required.
Unarchive a release pipeline. 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_unarchiveReleasePipeline: 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_unarchiveReleasePipeline 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_unarchiveReleasePipeline 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_unarchiveReleasePipeline. 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_unarchiveReleasePipeline 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.
Free to start. No card required.
182 Linear tools catalogued and risk-classified — across an index of 42,500+ MCP servers.