AI agents call list_range to retrieve information from Redis MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves a range of elements from a Redis list. It performs a non-destructive query operation (analogous to LRANGE in native Redis) with no side effects, no data modification, and no irreversible consequences. It fits squarely within the Read category.
From the tool's definition Tool name 'list_range' combined with server description indicating it 'retrieves' data from Redis lists. The description translates to 'Get list range', which is a read operation that queries data without modification.
Attacks that exploit this kind of access
获取列表范围. It is categorised as a Read tool in the Redis MCP MCP Server, which means it retrieves data without modifying state.
Register the 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 Redis MCP. 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 Redis MCP server (pickstar-2002/redis-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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