List all S3 buckets in the AWS account
AI agents call aws_list_s3_buckets to retrieve information from MCP Project Orchestrator without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries AWS account metadata to enumerate S3 buckets. It is a read-only operation that retrieves information without side effects. While listing S3 buckets reveals some account structure, the blast radius is minimal for an AI agent—it only discovers existing resources without the ability to access, modify, or delete them.
From the tool's definition Tool name contains 'list' and description states 'List all S3 buckets' — retrieval-only operation with no modification or deletion of resources.
Documented attack patterns abuse exactly the kind of access aws_list_s3_buckets gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCP Project Orchestrator, and nothing reaches the server without passing your rules. This is the rule we recommend for aws_list_s3_buckets:
{
"version": "1",
"default": "deny",
"tools": {
"aws_list_s3_buckets": {}
}
} aws_list_s3_buckets is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List all S3 buckets in the AWS account. It is categorised as a Read tool in the MCP Project Orchestrator MCP Server, which means it retrieves data without modifying state.
Register the MCP Project Orchestrator MCP server in PolicyLayer and add a rule for aws_list_s3_buckets: 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 MCP Project Orchestrator. Nothing to install.
aws_list_s3_buckets 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 aws_list_s3_buckets 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 aws_list_s3_buckets. 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.
aws_list_s3_buckets is provided by the MCP Project Orchestrator MCP server (sparesparrow/mcp-project-orchestrator). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MCP Project Orchestrator, 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.
15 MCP Project Orchestrator tools catalogued and risk-classified — across an index of 43,000+ MCP servers.