AI agents call describe-serverless-caches to retrieve information from Prometheus MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool appears to retrieve information about serverless caches in AWS Managed Prometheus. The 'describe' pattern is standard AWS API nomenclature for read-only queries that return resource details. Despite the empty description reducing confidence slightly, the name strongly indicates a non-destructive information retrieval operation with minimal blast radius if misused by an AI agent.
From the tool's definition Tool name 'describe-serverless-caches' uses the 'describe' verb, which conventionally retrieves or queries infrastructure metadata without modification. No description provided to contradict this.
Documented attack patterns abuse exactly the kind of access describe-serverless-caches 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 describe-serverless-caches:
{
"version": "1",
"default": "deny",
"tools": {
"describe-serverless-caches": {}
}
}describe-serverless-caches is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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describe-serverless-caches. It is categorised as a Read tool in the Prometheus MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Prometheus MCP Server MCP server in PolicyLayer and add a rule for describe-serverless-caches: 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.
describe-serverless-caches is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the describe-serverless-caches 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 describe-serverless-caches. 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.
describe-serverless-caches 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.
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805 Prometheus MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.