Get a value from the cache. Args: key: The key to retrieve Returns: Value or error message
AI agents call cache_get to retrieve information from AWS without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This is a straightforward cache retrieval operation that queries data without side effects. It takes a key as input and returns a value or error message, which is a typical Read operation. No data is modified, deleted, or executed. Severity is low because misuse would only expose cached data that the requester may already have access to.
From the tool's definition Tool name is 'cache_get' and description states it retrieves 'a value from the cache' with no modification, deletion, or execution capability.
Documented attack patterns abuse exactly the kind of access cache_get gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and AWS, and nothing reaches the server without passing your rules. This is the rule we recommend for cache_get:
{
"version": "1",
"default": "deny",
"tools": {
"cache_get": {}
}
}cache_get 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 value from the cache. Args: key: The key to retrieve Returns: Value or error message. It is categorised as a Read tool in the AWS MCP Server, which means it retrieves data without modifying state.
Register the AWS MCP server in PolicyLayer and add a rule for cache_get: 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 AWS. Nothing to install.
cache_get 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 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. 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 is provided by the AWS MCP server (@awslabs/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from AWS, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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300 AWS tools catalogued and risk-classified — across an index of 43,000+ MCP servers.