put_role_policy · AWS IoT SiteWise MCP Server MCP

WHAT IT DOES

What put_role_policy does on AWS IoT SiteWise MCP Server

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

WHY IT NEEDS A POLICY

Why put_role_policy needs a policy

This tool modifies IAM permissions by writing/attaching policies to roles, which is a privileged operation that could grant unintended access if misused. It is Write (not Execute) because it modifies configuration data reversibly. It could escalate to Execute or higher if the misapplication cascades to unauthorized actions, but the direct operation is policy modification.

From the tool's definition Tool name 'put_role_policy' indicates creation or modification of an IAM role policy. The description is empty, providing no clarifying detail, but the verb 'put' combined with 'role_policy' in an AWS context typically denotes a write operation that adds or…

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

put_role_policy Rate-limited

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.

View as policy code

policy.json

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

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches AWS IoT SiteWise MCP Server, so you can run agents against it safely.

FAQ

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 AWS IoT SiteWise 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 put_role_policy? +

Register the AWS IoT SiteWise MCP Server 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 AWS IoT SiteWise MCP Server. 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 AWS IoT SiteWise MCP Server MCP server (awslabs.aws-iot-sitewise-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.