AI agents use set_move to create or update resources in Amazon Redshift MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Amazon Redshift MCP Server environment.
This tool modifies data by moving a member from one set to another, which is a reversible change (the member can be moved back). It does not delete data irreversibly, execute arbitrary code, or perform financial operations. The severity is medium because moving set membership could affect access controls, data organization, or permissions depending on the context, but the operation itself is reversible.
From the tool's definition Tool name 'set_move' and description 'Move member from one set to another' indicate a modification operation that changes membership state between data structures.
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 Amazon Redshift MCP Server, 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.
Free to start. No card required.
Move member from one set to another. It is categorised as a Write tool in the Amazon Redshift MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Amazon Redshift MCP Server 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 Amazon Redshift MCP Server. 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 Amazon Redshift MCP Server MCP server (awslabs.redshift-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Amazon Redshift MCP Server, 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.
805 Amazon Redshift MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.