AI agents call ri-performance as a supporting operation in Amazon MQ MCP Server workflows.
The description is empty and the name 'ri-performance' is ambiguous. 'RI' could refer to Reserved Instances performance metrics, which would be a Read operation, but without any description to confirm this, confidence is very low. Defaulting to Other given insufficient information.
From the tool's definition Tool name is 'ri-performance' with an empty description. No information available about what this tool does.
Documented attack patterns abuse exactly the kind of access ri-performance gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Amazon MQ MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for ri-performance:
{
"version": "1",
"default": "deny",
"tools": {
"ri-performance": {
"limits": [
{
"counter": "ri-performance_rate",
"window": "minute",
"max": 60,
"scope": "grant"
}
]
}
}
} ri-performance gets a rate cap, and everything else on the server is denied unless you say otherwise.
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ri-performance. It is categorised as a Other tool in the Amazon MQ MCP Server MCP Server, which means it performs auxiliary operations.
Register the Amazon MQ MCP Server MCP server in PolicyLayer and add a rule for ri-performance: 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 Amazon MQ MCP Server. Nothing to install.
ri-performance 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 ri-performance 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 ri-performance. 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.
ri-performance is provided by the Amazon MQ MCP Server MCP server (awslabs.amazon-mq-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Amazon MQ 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 Amazon MQ MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.