AI agents call list_range to retrieve information from Amazon Redshift MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This is a straightforward query/retrieval operation that reads data from a list. It does not create, modify, delete, or execute any operations. The blast radius is minimal - misuse would only expose data already accessible through the list, not enable unauthorized modifications or destructive actions.
From the tool's definition Tool name 'list_range' and description 'Get range of values from list' indicates a retrieval operation that fetches a subset of data from a list without modification or side effects.
Documented attack patterns abuse exactly the kind of access list_range 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 list_range:
{
"version": "1",
"default": "deny",
"tools": {
"list_range": {}
}
} list_range is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get range of values from list. It is categorised as a Read tool in the Amazon Redshift MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Amazon Redshift MCP Server MCP server in PolicyLayer and add a rule for list_range: 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.
list_range 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 list_range 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 list_range. 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.
list_range 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.
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805 Amazon Redshift MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.