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delete_agent_runtime_endpoint

delete_agent_runtime_endpoint

How to control delete_agent_runtime_endpoint ↓

What delete_agent_runtime_endpoint does on CloudWatch Application Signals MCP Server

AI agents call delete_agent_runtime_endpoint to permanently remove resources in CloudWatch Application Signals MCP Server — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.

Critical Risk

Why delete_agent_runtime_endpoint needs a policy

Any tool with 'delete' in its name that removes infrastructure or runtime endpoints is classified as Destructive rather than Write because deletion is irreversible. The AWS context and agent runtime endpoint subject matter suggest potential blast radius affecting application observability and monitoring.

From the tool's definition Tool name 'delete_agent_runtime_endpoint' contains the verb 'delete', which indicates irreversible removal of a resource (the agent runtime endpoint).

Documented attack patterns abuse exactly the kind of access delete_agent_runtime_endpoint gives an agent:

How to control delete_agent_runtime_endpoint

PolicyLayer is an MCP gateway — it sits between your AI agents and CloudWatch Application Signals MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for delete_agent_runtime_endpoint:

policy.json
{
  "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.

  1. Create a free account and register CloudWatch Application Signals MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about delete_agent_runtime_endpoint

What does the delete_agent_runtime_endpoint tool do? +

delete_agent_runtime_endpoint. It is categorised as a Destructive tool in the CloudWatch Application Signals MCP Server MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.

How do I enforce a policy on delete_agent_runtime_endpoint? +

Register the CloudWatch Application Signals 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 CloudWatch Application Signals MCP Server. Nothing to install.

What risk level is delete_agent_runtime_endpoint? +

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.

Can I rate-limit delete_agent_runtime_endpoint? +

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.

How do I block delete_agent_runtime_endpoint completely? +

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.

What MCP server provides delete_agent_runtime_endpoint? +

delete_agent_runtime_endpoint is provided by the CloudWatch Application Signals MCP Server MCP server (awslabs.cloudwatch-applicationsignals-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every CloudWatch Application Signals MCP Server tool call.

Start from CloudWatch Application Signals 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 CloudWatch Application Signals MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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