update_schedule_state · AWS IoT SiteWise MCP Server MCP

WHAT IT DOES

What update_schedule_state does on AWS IoT SiteWise MCP Server

AI agents use update_schedule_state 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 update_schedule_state needs a policy

The tool name strongly suggests updating (modifying) a schedule's state, which is a Write operation. Without a description, we cannot rule out more severe categories, but the 'update' verb typically indicates reversible modification rather than deletion or execution of arbitrary code. The AWS IoT SiteWise context suggests industrial IoT configuration management.

From the tool's definition Tool name 'update_schedule_state' indicates modification of schedule state/configuration. Description is empty, limiting confidence.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

update_schedule_state Rate-limited

update_schedule_state 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": {
    "update_schedule_state": {
      "limits": [
        {
          "counter": "update_schedule_state_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 update_schedule_state

What does the update_schedule_state tool do? +

update_schedule_state. 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 update_schedule_state? +

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

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

Can I rate-limit update_schedule_state? +

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

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

update_schedule_state 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.