delete_agent_runtime_endpoint
AI agents call delete_agent_runtime_endpoint to permanently remove resources in Amazon Translate MCP Server — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
The 'delete_' prefix is a strong signal of destructive capability. Despite the empty description, the semantic meaning of 'delete_agent_runtime_endpoint' indicates permanent removal of infrastructure or configuration. This falls under the Destructive category as it removes data/resources irreversibly.
From the tool's definition Tool name contains 'delete' which indicates irreversible data removal. The empty description provides no clarifying context, but the naming convention strongly suggests this tool removes an agent runtime endpoint, which cannot be undone.
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 Amazon Translate 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 Amazon Translate MCP Server MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Amazon Translate 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 Amazon Translate 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 Amazon Translate MCP Server MCP server (awslabs.amazon-translate-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Amazon Translate 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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