list_agent_runtime_endpoints

WHAT IT DOES

What list_agent_runtime_endpoints does on Amazon Location Service MCP Server

AI agents call list_agent_runtime_endpoints to retrieve information from Amazon Location Service MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

THE RISK

Low Risk

Why list_agent_runtime_endpoints needs a policy

The 'list' prefix strongly suggests this tool retrieves or enumerates endpoint data. With no descriptive text provided, confidence is moderately reduced, but the naming convention and the AWS Location Service context (which primarily handles geographic data and mapping operations) indicate this is a read-only operation with minimal blast radius if misused by an AI agent.

From the tool's definition Tool name 'list_agent_runtime_endpoints' uses the 'list' verb, which typically indicates a query/retrieval operation that returns information about existing resources without modifying them.

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

POLICY

How to control list_agent_runtime_endpoints

PolicyLayer is an MCP gateway — it sits between your AI agents and Amazon Location Service MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for list_agent_runtime_endpoints:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "list_agent_runtime_endpoints": {}
  }
}

list_agent_runtime_endpoints is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

Create a free account and register Amazon Location Service MCP Server — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

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EXPLORE

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Go deeper

Roll out MCP under one policy → Per-person scoped tokens, one central policy, and full audit across every server your team connects.
The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →
PolicyLayer vs alternatives → How deterministic, per-call MCP policy compares with gateways, identity layers, and authorisation platforms.

FAQ

Questions about list_agent_runtime_endpoints

What does the list_agent_runtime_endpoints tool do? +

list_agent_runtime_endpoints. It is categorised as a Read tool in the Amazon Location Service MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on list_agent_runtime_endpoints? +

Register the Amazon Location Service MCP Server MCP server in PolicyLayer and add a rule for list_agent_runtime_endpoints: 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 Location Service MCP Server. Nothing to install.

What risk level is list_agent_runtime_endpoints? +

list_agent_runtime_endpoints is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit list_agent_runtime_endpoints? +

Yes. Add a rate_limit block to the list_agent_runtime_endpoints 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 list_agent_runtime_endpoints completely? +

Set action: deny in the PolicyLayer policy for list_agent_runtime_endpoints. 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 list_agent_runtime_endpoints? +

list_agent_runtime_endpoints is provided by the Amazon Location Service MCP Server MCP server (awslabs.aws-location-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 Amazon Location Service MCP Server tool call.

Start from Amazon Location Service 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 Amazon Location Service MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.