Get multiple values from the cache (alias for get_many).
AI agents call cache_get_multi to retrieve information from Amazon MQ 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 cached data without modifying, deleting, or executing any operations. It is a straightforward read operation with minimal risk. The blast radius of misuse is limited to potential information disclosure of cached values, which in an MQ context would be retrieval of message metadata or configuration details already stored in the cache.
From the tool's definition Tool name 'cache_get_multi' and description 'Get multiple values from the cache' indicate a retrieval operation with no side effects. The alias 'get_many' reinforces this as a read-only query.
Attacks that exploit this kind of access
Get multiple values from the cache (alias for get_many). It is categorised as a Read tool in the Amazon MQ MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Amazon MQ MCP Server MCP server in PolicyLayer and add a rule for cache_get_multi: 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 MQ MCP Server. Nothing to install.
cache_get_multi 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 cache_get_multi 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 cache_get_multi. 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.
cache_get_multi is provided by the Amazon MQ MCP Server MCP server (awslabs.amazon-mq-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.