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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 Awslabs Amazon Sns Sqs

AI agents invoke run_gremlin_query to trigger actions in Awslabs Amazon Sns Sqs. 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.

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Why run_gremlin_query needs a policy

This tool allows execution of arbitrary Gremlin queries against a graph database. Gremlin is a graph traversal language that can read, write, and delete data depending on the query provided. Since the tool executes queries with effects determined by user input, it falls under Execute category.

From the tool's definition Tool description states 'Executes the provided Tinkerpop Gremlin against the graph' — the verb 'Executes' combined with 'Gremlin' (a graph query/traversal language) indicates arbitrary code execution against a graph database.

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 Awslabs Amazon Sns Sqs, 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 Awslabs Amazon Sns Sqs — 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.
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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 Awslabs Amazon Sns Sqs 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 Awslabs Amazon Sns Sqs 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 Awslabs Amazon Sns Sqs. 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 Awslabs Amazon Sns Sqs MCP server (awslabs.amazon-sns-sqs-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 Awslabs Amazon Sns Sqs tool call.

Start from Awslabs Amazon Sns Sqs, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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805 Awslabs Amazon Sns Sqs tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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