AI agents call delete_instance_in_series 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.
The 'delete_instance_in_series' tool performs an irreversible deletion operation on what appears to be Prometheus time-series data instances. Deletion operations cannot be undone and represent the most severe category of risk. While the empty description reduces confidence slightly, the explicit 'delete' verb in the tool name justifies classification as Destructive rather than Write.
From the tool's definition Tool name 'delete_instance_in_series' contains the verb 'delete', indicating irreversible removal of data. The description is empty, preventing confirmation of scope, but the name strongly suggests deletion of a time-series data instance in Prometheus.
Documented attack patterns abuse exactly the kind of access delete_instance_in_series 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_instance_in_series:
{
"version": "1",
"default": "deny",
"hide": [
"delete_instance_in_series"
]
} delete_instance_in_series 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_instance_in_series. 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_instance_in_series: 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_instance_in_series 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_instance_in_series 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_instance_in_series. 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_instance_in_series 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.