manage_aws_athena_query_executions
AI agents invoke manage_aws_athena_query_executions to trigger actions in Prometheus 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.
The tool name references 'query executions' in AWS Athena, which runs SQL queries against data in S3. Managing query executions implies starting, stopping, or retrieving query runs — an Execute-level action. Athena queries can perform DML/DDL operations including potentially destructive SQL. However, the description is empty, reducing confidence.
From the tool's definition Tool name: 'manage_aws_athena_query_executions' — implies executing and managing AWS Athena queries
Documented attack patterns abuse exactly the kind of access manage_aws_athena_query_executions gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Prometheus MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for manage_aws_athena_query_executions:
{
"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.
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manage_aws_athena_query_executions. It is categorised as a Execute tool in the Prometheus MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Prometheus 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 Prometheus MCP Server. Nothing to install.
manage_aws_athena_query_executions is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
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.
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.
manage_aws_athena_query_executions is provided by the Prometheus MCP Server MCP server (awslabs.prometheus-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Prometheus 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.
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