Medium Risk

hll_add

Add one element to a HyperLogLog.

How to control hll_add ↓

What hll_add does on Amazon Translate MCP Server

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

Medium Risk

Why hll_add needs a policy

This tool creates or modifies data in a HyperLogLog structure by adding elements. While the modification is reversible (elements can be removed or the HyperLogLog cleared), it constitutes a Write action rather than Read (it modifies state) or Execute (it doesn't run arbitrary code).

From the tool's definition Tool name 'hll_add' and description 'Add one element to a HyperLogLog' indicate a write operation that modifies a data structure by adding an element.

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

How to control hll_add

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

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

hll_add 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 Translate 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 hll_add

What does the hll_add tool do? +

Add one element to a HyperLogLog. It is categorised as a Write tool in the Amazon Translate 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 hll_add? +

Register the Amazon Translate MCP Server MCP server in PolicyLayer and add a rule for hll_add: 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 Translate MCP Server. Nothing to install.

What risk level is hll_add? +

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

Can I rate-limit hll_add? +

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

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

hll_add is provided by the Amazon Translate MCP Server MCP server (awslabs.amazon-translate-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 Translate MCP Server tool call.

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

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