Delete a Linear saved view (API: deleteCustomView)
AI agents call linear_deleteSavedView 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.
Deletion operations that cannot be undone fall into the Destructive category. While deleting a saved view is less critical than deleting issues or projects themselves, it permanently removes a user-created artifact without the ability to recover it. The high severity reflects that an agent could maliciously or carelessly delete important team views that others depend on for workflow organization.
From the tool's definition Tool name includes 'delete' and description states 'Delete a Linear saved view'. This is an irreversible operation that removes saved views/filters that users have created.
Documented attack patterns abuse exactly the kind of access linear_deleteSavedView 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_deleteSavedView:
{
"version": "1",
"default": "deny",
"hide": [
"linear_deleteSavedView"
]
}linear_deleteSavedView 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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Delete a Linear saved view (API: deleteCustomView). 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_deleteSavedView: 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_deleteSavedView 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_deleteSavedView 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_deleteSavedView. 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_deleteSavedView 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.