add_communication_to_case

WHAT IT DOES

What add_communication_to_case does on Amazon SageMaker AI MCP Server

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

WHY IT NEEDS A POLICY

Why add_communication_to_case needs a policy

The tool performs a create/append operation (adding a communication message to a support case), which is reversible and modifies data without permanently deleting it. This is a Write-category action.

From the tool's definition Tool name 'add_communication_to_case' indicates adding/appending communication to an existing case entity; the 'add_' prefix suggests a Write operation that modifies data reversibly.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

add_communication_to_case Rate-limited

add_communication_to_case 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": {
    "add_communication_to_case": {
      "limits": [
        {
          "counter": "add_communication_to_case_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 Amazon SageMaker AI MCP Server, so you can run agents against it safely.

FAQ

Questions about add_communication_to_case

What does the add_communication_to_case tool do? +

add_communication_to_case. It is categorised as a Write tool in the Amazon SageMaker AI 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 add_communication_to_case? +

Register the Amazon SageMaker AI MCP Server MCP server in PolicyLayer and add a rule for add_communication_to_case: 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 SageMaker AI MCP Server. Nothing to install.

What risk level is add_communication_to_case? +

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

Can I rate-limit add_communication_to_case? +

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

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

add_communication_to_case is provided by the Amazon SageMaker AI MCP Server MCP server (awslabs.sagemaker-ai-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.