manage_aws_athena_query_executions

THE RISK

High Risk

Why manage_aws_athena_query_executions needs a policy

The tool name implies execution of Athena queries, which can run arbitrary SQL including potentially destructive or data-exfiltrating operations. 'Manage' could also include canceling or modifying executions. Confidence is reduced due to empty description, but 'query_executions' strongly implies Execute category. Severity is high given Athena queries can scan large datasets and incur costs.

From the tool's definition Tool name contains 'manage' and 'query_executions', suggesting it runs or manages Athena SQL query executions against AWS data sources.

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

POLICY

How to control manage_aws_athena_query_executions

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

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "manage_aws_athena_query_executions": {
      "limits": [
        {
          "counter": "manage_aws_athena_query_executions_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

manage_aws_athena_query_executions 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.

Create a free account and register AWS API MCP Server — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

RATE-LIMIT THIS TOOL →

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EXPLORE

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All high-risk MCP tools → Every high-risk tool across the catalogue, and the policy pattern that contains them.
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FAQ

Questions about manage_aws_athena_query_executions

What does the manage_aws_athena_query_executions tool do? +

manage_aws_athena_query_executions. It is categorised as a Execute tool in the AWS API 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 manage_aws_athena_query_executions? +

Register the AWS API MCP Server MCP server in PolicyLayer and add a rule for manage_aws_athena_query_executions: 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 AWS API MCP Server. Nothing to install.

What risk level is manage_aws_athena_query_executions? +

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

Can I rate-limit manage_aws_athena_query_executions? +

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

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

manage_aws_athena_query_executions is provided by the AWS API MCP Server MCP server (awslabs.aws-api-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 AWS API MCP Server tool call.

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

CHECK YOUR STACK →