Medium Risk

import_terminology

import_terminology

How to control import_terminology ↓

What import_terminology does on Amazon Data Processing MCP Server

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

Medium Risk

Why import_terminology needs a policy

The tool name 'import_terminology' indicates a write operation that creates or modifies terminology records, fitting the Write category (creates or modifies data reversibly). Without a description, confidence is reduced, but the action of importing data typically implies creation or modification rather than retrieval or deletion.

From the tool's definition Tool name 'import_terminology' suggests adding or modifying terminology data into a system. In the context of an AWS data processing server, this likely creates or modifies terminology definitions, which is a reversible write operation.

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

How to control import_terminology

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

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

import_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.

  1. Create a free account and register Amazon Data Processing 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.
LIMIT THIS TOOL →

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Related tools and policies

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Questions about import_terminology

What does the import_terminology tool do? +

import_terminology. It is categorised as a Write tool in the Amazon Data Processing 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 import_terminology? +

Register the Amazon Data Processing MCP Server MCP server in PolicyLayer and add a rule for import_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 Data Processing MCP Server. Nothing to install.

What risk level is import_terminology? +

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

Can I rate-limit import_terminology? +

Yes. Add a rate_limit block to the import_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 import_terminology completely? +

Set action: deny in the PolicyLayer policy for import_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 import_terminology? +

import_terminology is provided by the Amazon Data Processing MCP Server MCP server (awslabs.aws-dataprocessing-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 Data Processing MCP Server tool call.

Start from Amazon Data Processing MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

805 Amazon Data Processing MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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