AI agents call delete_series_by_uid to permanently remove resources in AWS — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
The 'delete' verb unambiguously signals a destructive operation that cannot be undone. Without additional context from the description (which is empty), the naming convention strongly implies permanent data removal. While confidence is not maximum due to the missing description, the destructive nature of deletion operations warrants 'Destructive' classification over 'Write'.
From the tool's definition Tool name 'delete_series_by_uid' contains the verb 'delete', which indicates irreversible removal of data. The 'by_uid' parameter suggests targeting specific series records in AWS services (likely time-series or monitoring data).
Documented attack patterns abuse exactly the kind of access delete_series_by_uid gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and AWS, and nothing reaches the server without passing your rules. This is the rule we recommend for delete_series_by_uid:
{
"version": "1",
"default": "deny",
"hide": [
"delete_series_by_uid"
]
} delete_series_by_uid 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_series_by_uid. It is categorised as a Destructive tool in the AWS MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the AWS MCP server in PolicyLayer and add a rule for delete_series_by_uid: 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 AWS. Nothing to install.
delete_series_by_uid 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_series_by_uid 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_series_by_uid. 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_series_by_uid is provided by the AWS MCP server (@awslabs/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from AWS, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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300 AWS tools catalogued and risk-classified — across an index of 43,000+ MCP servers.