AI agents call aggregate as a supporting operation in AWS Serverless MCP Server workflows.
The description is empty and the name 'aggregate' alone is ambiguous — it could mean aggregating/summarizing data (Read), but without any description or context, confidence is very low. Given sibling tools relate to AWS Serverless operations, it may aggregate logs or metrics (Read), but this cannot be determined confidently.
From the tool's definition Tool name is 'aggregate' with empty description. No information about what it does.
Documented attack patterns abuse exactly the kind of access aggregate gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and AWS Serverless MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for aggregate:
{
"version": "1",
"default": "deny",
"tools": {
"aggregate": {
"limits": [
{
"counter": "aggregate_rate",
"window": "minute",
"max": 60,
"scope": "grant"
}
]
}
}
} aggregate gets a rate cap, and everything else on the server is denied unless you say otherwise.
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aggregate. It is categorised as a Other tool in the AWS Serverless MCP Server MCP Server, which means it performs auxiliary operations.
Register the AWS Serverless MCP Server MCP server in PolicyLayer and add a rule for aggregate: 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 Serverless MCP Server. Nothing to install.
aggregate 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 aggregate 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 aggregate. 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.
aggregate is provided by the AWS Serverless MCP Server MCP server (awslabs.aws-serverless-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from AWS Serverless 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 AWS Serverless MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.