Move member from one set to another. Args: source: Source set key destination: Destination set key member: Member to move Returns: Success message or error message
AI agents use set_move to create or update resources in AWS — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your AWS environment.
This tool performs a data modification operation (moving a member between sets) that is reversible and has no destructive or financial consequences. It fits the Write category: creates or modifies data reversibly.
From the tool's definition Tool description: "Move member from one set to another" with args source, destination, member. The operation modifies data by relocating a member between sets, which is reversible (the member can be moved back).
Documented attack patterns abuse exactly the kind of access set_move gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and AWS, and nothing reaches the server without passing your rules. This is the rule we recommend for set_move:
{
"version": "1",
"default": "deny",
"tools": {
"set_move": {
"limits": [
{
"counter": "set_move_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} set_move stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
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Move member from one set to another. Args: source: Source set key destination: Destination set key member: Member to move Returns: Success message or error message. It is categorised as a Write tool in the AWS MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the AWS MCP server in PolicyLayer and add a rule for set_move: 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. Nothing to install.
set_move is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the set_move 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 set_move. 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.
set_move is provided by the AWS MCP server (@awslabs/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from AWS, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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300 AWS tools catalogued and risk-classified — across an index of 43,000+ MCP servers.