AI agents call list_range to retrieve information from MCP Server Redis without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a query operation on existing Redis data. It returns values within a specified range from a list structure without side effects. The blast radius of misuse is minimal—an agent could read sensitive data if present, but cannot alter state, execute code, or cause irreversible damage. Severity is low because Redis list range queries are inherently safe read operations.
From the tool's definition Tool retrieves a range of values from a Redis list with no modification capability. The operation is read-only: 'Get a range of values from a Redis list'. No data is created, modified, deleted, or executed.
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 MCP Server Redis, 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 a range of values from a Redis list. It is categorised as a Read tool in the MCP Server Redis MCP Server, which means it retrieves data without modifying state.
Register the MCP Server Redis 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 MCP Server Redis. 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 MCP Server Redis MCP server (prajwalnayak7/mcp-server-redis). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MCP Server Redis, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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10 MCP Server Redis tools catalogued and risk-classified — across an index of 43,000+ MCP servers.