delete_agent_runtime_endpoint
AI agents call delete_agent_runtime_endpoint to permanently remove resources in AWS HealthOmics MCP Server — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
The term 'delete' in AWS contexts typically means permanent removal of infrastructure or configuration resources. Deletion of an endpoint is irreversible and cannot be undone through normal means, fitting the Destructive category. The high severity reflects the potential impact of removing runtime infrastructure that applications may depend on.
From the tool's definition Tool name 'delete_agent_runtime_endpoint' contains the verb 'delete', which is explicitly listed as a destructive action.
Documented attack patterns abuse exactly the kind of access delete_agent_runtime_endpoint gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and AWS HealthOmics MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for delete_agent_runtime_endpoint:
{
"version": "1",
"default": "deny",
"hide": [
"delete_agent_runtime_endpoint"
]
} delete_agent_runtime_endpoint 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_endpoint. It is categorised as a Destructive tool in the AWS HealthOmics MCP Server MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the AWS HealthOmics MCP Server MCP server in PolicyLayer and add a rule for delete_agent_runtime_endpoint: 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 HealthOmics MCP Server. Nothing to install.
delete_agent_runtime_endpoint 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_endpoint 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_endpoint. 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_endpoint is provided by the AWS HealthOmics MCP Server MCP server (awslabs.aws-healthomics-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from AWS HealthOmics MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
805 AWS HealthOmics MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.