AI agents call scan_keys to retrieve information from Redis without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The scan_keys tool scans and retrieves matching keys from the Redis database. This is a read-only operation with no side effects—it queries data but does not create, modify, delete, or execute external operations. It aligns with the Read category definition of retrieving or querying data without side effects.
From the tool's definition Tool name 'scan_keys' and function description '扫描匹配的键' (scan matching keys) indicates a read operation that queries/retrieves keys from Redis without modifying data.
Attacks that exploit this kind of access
扫描匹配的键. It is categorised as a Read tool in the Redis MCP Server, which means it retrieves data without modifying state.
Register the Redis MCP server in PolicyLayer and add a rule for scan_keys: 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. Nothing to install.
scan_keys 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 scan_keys 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 scan_keys. 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.
scan_keys is provided by the Redis MCP server (lm203688/redis-mcp-server). 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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