create_terminology · Amazon SageMaker AI MCP Server MCP

WHAT IT DOES

What create_terminology does on Amazon SageMaker AI MCP Server

AI agents use create_terminology 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 create_terminology needs a policy

The 'create_' verb indicates a Write operation (reversible data creation). Without a description, confidence is reduced but the naming convention strongly suggests the tool creates new terminology entries, likely in SageMaker's translation or NLP services.

From the tool's definition Tool named 'create_terminology' with empty description. The 'create_' prefix indicates data creation/modification. In AWS SageMaker context, terminology typically refers to custom translation glossaries or linguistic resources that can be created and stored.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

create_terminology Rate-limited

create_terminology 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": {
    "create_terminology": {
      "limits": [
        {
          "counter": "create_terminology_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 create_terminology

What does the create_terminology tool do? +

create_terminology. 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 create_terminology? +

Register the Amazon SageMaker AI MCP Server MCP server in PolicyLayer and add a rule for create_terminology: 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 create_terminology? +

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

Can I rate-limit create_terminology? +

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

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

create_terminology 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.