Medium Risk

put_role_policy

put_role_policy

How to control put_role_policy ↓

What put_role_policy does on Awslabs Amazon Sns Sqs

AI agents use put_role_policy to create or update resources in Awslabs Amazon Sns Sqs — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Awslabs Amazon Sns Sqs environment.

Medium Risk

Why put_role_policy needs a policy

put_role_policy creates or updates role policies (reversible Write operation). While the description is missing, the name clearly indicates a policy modification action. This is Write rather than Execute because it configures permissions rather than running arbitrary operations.

From the tool's definition Tool name 'put_role_policy' indicates creating or updating an IAM role policy. The tool is part of an SNS/SQS MCP server but performs identity/access management operations.

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

How to control put_role_policy

PolicyLayer is an MCP gateway — it sits between your AI agents and Awslabs Amazon Sns Sqs, and nothing reaches the server without passing your rules. This is the rule we recommend for put_role_policy:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "put_role_policy": {
      "limits": [
        {
          "counter": "put_role_policy_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

put_role_policy 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.

  1. Create a free account and register Awslabs Amazon Sns Sqs — 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 put_role_policy

What does the put_role_policy tool do? +

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

How do I enforce a policy on put_role_policy? +

Register the Awslabs Amazon Sns Sqs MCP server in PolicyLayer and add a rule for put_role_policy: 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 Awslabs Amazon Sns Sqs. Nothing to install.

What risk level is put_role_policy? +

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

Can I rate-limit put_role_policy? +

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

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

put_role_policy is provided by the Awslabs Amazon Sns Sqs MCP server (awslabs.amazon-sns-sqs-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 Awslabs Amazon Sns Sqs tool call.

Start from Awslabs Amazon Sns Sqs, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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