Medium Risk

modify-serverless-cache

modify-serverless-cache

How to control modify-serverless-cache ↓

What modify-serverless-cache does on Amazon Translate MCP Server

AI agents use modify-serverless-cache 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 modify-serverless-cache needs a policy

The 'modify' prefix indicates reversible data/configuration changes rather than permanent deletion (Destructive) or code execution (Execute). Cache modification can have significant side effects on system performance and data consistency, warranting high severity. Confidence is lowered due to absent description and unclear relationship to the stated Amazon Translate server purpose.

From the tool's definition Tool name 'modify-serverless-cache' indicates modification of cache configuration; description is empty, limiting direct evidence.

Documented attack patterns abuse exactly the kind of access modify-serverless-cache gives an agent:

How to control modify-serverless-cache

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 modify-serverless-cache:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "modify-serverless-cache": {
      "limits": [
        {
          "counter": "modify-serverless-cache_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

modify-serverless-cache 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 modify-serverless-cache

What does the modify-serverless-cache tool do? +

modify-serverless-cache. 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 modify-serverless-cache? +

Register the Amazon Translate MCP Server MCP server in PolicyLayer and add a rule for modify-serverless-cache: 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 modify-serverless-cache? +

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

Can I rate-limit modify-serverless-cache? +

Yes. Add a rate_limit block to the modify-serverless-cache 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 modify-serverless-cache completely? +

Set action: deny in the PolicyLayer policy for modify-serverless-cache. 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 modify-serverless-cache? +

modify-serverless-cache 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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