describe_support_cases

WHAT IT DOES

What describe_support_cases does on Amazon Location Service MCP Server

AI agents call describe_support_cases 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 describe_support_cases needs a policy

Despite the empty description reducing confidence, the tool name strongly suggests retrieving or listing support case metadata. This is a read operation with no side effects. The low severity reflects minimal risk if misused by an AI agent—it would only expose existing support case information.

From the tool's definition Tool name 'describe_support_cases' indicates a query/retrieval operation. The verb 'describe' is consistently used for read-only introspection across AWS APIs. No description provided to contradict this.

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

POLICY

How to control describe_support_cases

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 describe_support_cases:

policy.json

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

describe_support_cases 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.

CAP THIS TOOL →

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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 describe_support_cases

What does the describe_support_cases tool do? +

describe_support_cases. 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 describe_support_cases? +

Register the Amazon Location Service MCP Server MCP server in PolicyLayer and add a rule for describe_support_cases: 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 describe_support_cases? +

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

Can I rate-limit describe_support_cases? +

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

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

describe_support_cases 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.