AI agents call delete_agent_runtime to permanently remove resources in Prometheus MCP Server — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Although the description is empty, the tool name explicitly contains 'delete', which typically indicates an action that irreversibly removes data or state. In the context of AWS Managed Prometheus (a monitoring system), deleting an agent runtime would likely remove runtime configuration or monitoring agent state that cannot be easily restored.
From the tool's definition Tool name 'delete_agent_runtime' contains the verb 'delete', which is characteristic of irreversible data removal operations. The description is empty, but the naming convention strongly suggests a destructive operation.
Documented attack patterns abuse exactly the kind of access delete_agent_runtime gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Prometheus MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for delete_agent_runtime:
{
"version": "1",
"default": "deny",
"hide": [
"delete_agent_runtime"
]
}delete_agent_runtime 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_agent_runtime. It is categorised as a Destructive tool in the Prometheus MCP Server MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Prometheus MCP Server MCP server in PolicyLayer and add a rule for delete_agent_runtime: 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 Prometheus MCP Server. Nothing to install.
delete_agent_runtime 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 delete_agent_runtime 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 delete_agent_runtime. 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.
delete_agent_runtime is provided by the Prometheus MCP Server MCP server (awslabs.prometheus-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Prometheus MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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805 Prometheus MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.