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run_gremlin_query

Executes the provided Tinkerpop Gremlin against the graph.

How to control run_gremlin_query ↓

What run_gremlin_query does on Amazon Translate MCP Server

AI agents invoke run_gremlin_query to trigger actions in Amazon Translate MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

High Risk

Why run_gremlin_query needs a policy

This tool runs arbitrary Gremlin queries against a graph database. Gremlin is a Turing-complete query language that can traverse, modify, and execute complex logic on graph structures. While individual queries might be read-only, the tool permits arbitrary execution whose side effects depend entirely on the query argument.

From the tool's definition "Executes the provided Tinkerpop Gremlin against the graph" – the verb 'Executes' and the reference to running Gremlin queries (a graph traversal language capable of arbitrary operations) indicates code execution.

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

How to control run_gremlin_query

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 run_gremlin_query:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "run_gremlin_query": {
      "limits": [
        {
          "counter": "run_gremlin_query_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

run_gremlin_query stays usable, but rate-capped — a runaway agent can't fire it dozens of times 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.
RATE-LIMIT THIS TOOL →

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Related tools and policies

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Questions about run_gremlin_query

What does the run_gremlin_query tool do? +

Executes the provided Tinkerpop Gremlin against the graph. It is categorised as a Execute tool in the Amazon Translate MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on run_gremlin_query? +

Register the Amazon Translate MCP Server MCP server in PolicyLayer and add a rule for run_gremlin_query: 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 run_gremlin_query? +

run_gremlin_query is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit run_gremlin_query? +

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

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

run_gremlin_query 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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