Remove an alert rule from a watched vault by rule ID.
AI agents call lido_remove_rule to permanently remove resources in Lido MCP Server — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Removing a rule is an irreversible deletion of configuration data. Once the alert rule is deleted by ID, it cannot be automatically recovered. This fits the Destructive category as it permanently removes a configured monitoring/alert rule from the vault.
From the tool's definition Remove an alert rule from a watched vault by rule ID
Attacks that exploit this kind of access
Remove an alert rule from a watched vault by rule ID. It is categorised as a Destructive tool in the Lido MCP Server MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Lido MCP Server MCP server in PolicyLayer and add a rule for lido_remove_rule: 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 Lido MCP Server. Nothing to install.
lido_remove_rule 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 lido_remove_rule 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 lido_remove_rule. 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.
lido_remove_rule is provided by the Lido MCP Server MCP server (the-wunmi/lido-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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