manage_aws_emr_serverless_applications
AI agents call manage_aws_emr_serverless_applications as a supporting operation in Prometheus MCP Server workflows.
The description is empty, making it impossible to determine the exact operations. The name 'manage' could span Read, Write, Execute, or Destructive categories. Without further context, 'Other' is assigned with low confidence. However, given the 'manage' prefix and AWS EMR Serverless context, misuse could have significant blast radius, hence medium severity.
From the tool's definition Tool name 'manage_aws_emr_serverless_applications' and empty description provide no detail on what operations are performed.
Documented attack patterns abuse exactly the kind of access manage_aws_emr_serverless_applications 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_emr_serverless_applications:
{
"version": "1",
"default": "deny",
"tools": {
"manage_aws_emr_serverless_applications": {
"limits": [
{
"counter": "manage_aws_emr_serverless_applications_rate",
"window": "minute",
"max": 60,
"scope": "grant"
}
]
}
}
} manage_aws_emr_serverless_applications gets a rate cap, and everything else on the server is denied unless you say otherwise.
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manage_aws_emr_serverless_applications. It is categorised as a Other tool in the Prometheus MCP Server MCP Server, which means it performs auxiliary operations.
Register the Prometheus MCP Server MCP server in PolicyLayer and add a rule for manage_aws_emr_serverless_applications: 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_emr_serverless_applications is a Other tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the manage_aws_emr_serverless_applications 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_emr_serverless_applications. 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_emr_serverless_applications 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.
805 Prometheus MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.