Get elements from a Redis list within a specific range. Returns: str: A JSON string containing the list of elements or an error message.
AI agents call lrange to retrieve information from Redis MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves data from a Redis list by specifying a range (start/stop indices). It queries existing data without modification, deletion, or execution of arbitrary code. The operation is read-only, has minimal blast radius even if misused by an agent, and conforms to the 'Read' category definition of retrieving or querying data with no side effects.
From the tool's definition Tool name 'lrange' and description 'Get elements from a Redis list within a specific range' clearly indicate a retrieval operation with no side effects. Returns a JSON string of list elements.
Documented attack patterns abuse exactly the kind of access lrange gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Redis MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for lrange:
{
"version": "1",
"default": "deny",
"tools": {
"lrange": {}
}
}lrange is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get elements from a Redis list within a specific range. Returns: str: A JSON string containing the list of elements or an error message. It is categorised as a Read tool in the Redis MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Redis MCP Server MCP server in PolicyLayer and add a rule for lrange: 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 Redis MCP Server. Nothing to install.
lrange 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 lrange 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 lrange. 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.
lrange is provided by the Redis MCP Server MCP server (redis/mcp-redis). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 53 Redis MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
53 Redis MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.