resolve_support_case | PolicyLayer

WHAT IT DOES

What resolve_support_case does on Amazon Location Service MCP Server

AI agents use resolve_support_case to create or update resources in Amazon Location Service MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Amazon Location Service MCP Server environment.

THE RISK

Medium Risk

Why resolve_support_case needs a policy

The tool modifies support case state by marking it resolved, which is a reversible write operation (cases can typically be reopened). Without a description, confidence is reduced. This is Write rather than Execute because it operates on a known resource type (support case) with a predictable effect, not arbitrary code/commands.

From the tool's definition Tool name is 'resolve_support_case' with an empty description. The verb 'resolve' indicates a state-changing action on a support case resource.

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

POLICY

How to control resolve_support_case

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 resolve_support_case:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "resolve_support_case": {
      "limits": [
        {
          "counter": "resolve_support_case_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

resolve_support_case stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. 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.
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Point your MCP client (Claude, Cursor, anything) at your gateway URL.

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EXPLORE

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FAQ

Questions about resolve_support_case

What does the resolve_support_case tool do? +

resolve_support_case. It is categorised as a Write tool in the Amazon Location Service MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on resolve_support_case? +

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

resolve_support_case is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit resolve_support_case? +

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

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

resolve_support_case 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.