simulate_principal_policy · AWS IoT SiteWise MCP Server MCP

WHAT IT DOES

What simulate_principal_policy does on AWS IoT SiteWise MCP Server

AI agents invoke simulate_principal_policy to trigger actions in AWS IoT SiteWise MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

WHY IT NEEDS A POLICY

Why simulate_principal_policy needs a policy

The name 'simulate_principal_policy' strongly suggests it simulates IAM principal policy evaluation (analogous to AWS IAM SimulatePrincipalPolicy API), which executes a policy simulation to determine what actions a principal is allowed or denied. This is an Execute-category action as it triggers an external evaluation operation. However, the empty description lowers confidence.

From the tool's definition Tool name 'simulate_principal_policy' — description is empty and uninformative

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

simulate_principal_policy Rate-limited

simulate_principal_policy stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "simulate_principal_policy": {
      "limits": [
        {
          "counter": "simulate_principal_policy_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-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 simulate_principal_policy

What does the simulate_principal_policy tool do? +

simulate_principal_policy. It is categorised as a Execute tool in the AWS IoT SiteWise MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on simulate_principal_policy? +

Register the AWS IoT SiteWise MCP Server MCP server in PolicyLayer and add a rule for simulate_principal_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 simulate_principal_policy? +

simulate_principal_policy is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit simulate_principal_policy? +

Yes. Add a rate_limit block to the simulate_principal_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 simulate_principal_policy completely? +

Set action: deny in the PolicyLayer policy for simulate_principal_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 simulate_principal_policy? +

simulate_principal_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.