Remove an entity or favorite entry from the current user\
AI agents call linear_removeFromFavorites to permanently remove resources in Linear — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Removing a favorite is a deletion operation that removes an existing association. While it is relatively low impact (favorites can potentially be re-added), the action is a removal/deletion operation, making Destructive the most appropriate category. Severity is medium since misuse would affect the user's favorites list but not core project data.
From the tool's definition Remove an entity or favorite entry from the current user
Documented attack patterns abuse exactly the kind of access linear_removeFromFavorites 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_removeFromFavorites:
{
"version": "1",
"default": "deny",
"hide": [
"linear_removeFromFavorites"
]
} linear_removeFromFavorites disappears from the agent's tool list entirely, and any attempt to call it is denied. The rest of the server keeps working.
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Remove an entity or favorite entry from the current user\. It is categorised as a Destructive tool in the Linear MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Linear MCP server in PolicyLayer and add a rule for linear_removeFromFavorites: 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_removeFromFavorites is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the linear_removeFromFavorites 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_removeFromFavorites. 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_removeFromFavorites 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.