Medium Risk

update_schedule_state

update_schedule_state

How to control update_schedule_state ↓

What update_schedule_state does on Amazon ECS MCP Server

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

Medium Risk

Why update_schedule_state needs a policy

The name implies a write/update operation on a schedule's state. With no description available, confidence is low. On an ECS deployment server, this likely enables or disables a scheduled task or event, which is a reversible write operation. Severity is medium since misconfiguring a schedule could disrupt deployments but is generally reversible.

From the tool's definition Tool name 'update_schedule_state' suggests modifying state of a schedule; description is empty and uninformative.

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

How to control update_schedule_state

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

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

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.

  1. Create a free account and register Amazon ECS MCP Server — 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 update_schedule_state

What does the update_schedule_state tool do? +

update_schedule_state. It is categorised as a Write tool in the Amazon ECS 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 Amazon ECS 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 Amazon ECS 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 Amazon ECS MCP Server MCP server (awslabs.ecs-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 ECS MCP Server tool call.

Start from Amazon ECS 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 ECS MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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