Get multiple values from the cache.
AI agents call cache_get_many to retrieve information from Amazon Data Processing MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool performs a straightforward read operation—fetching cached values. There is no data modification, deletion, execution of external operations, or financial implications. The blast radius of misuse is minimal; an attacker could only exfiltrate cached data they are authorized to access. This is a typical Read category tool.
From the tool's definition Tool name 'cache_get_many' and description 'Get multiple values from the cache' indicate a retrieval operation with no modification or side effects.
Documented attack patterns abuse exactly the kind of access cache_get_many gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Amazon Data Processing MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for cache_get_many:
{
"version": "1",
"default": "deny",
"tools": {
"cache_get_many": {}
}
} cache_get_many is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get multiple values from the cache. It is categorised as a Read tool in the Amazon Data Processing MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Amazon Data Processing MCP Server MCP server in PolicyLayer and add a rule for cache_get_many: 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 Data Processing MCP Server. Nothing to install.
cache_get_many 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_many 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_many. 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_many is provided by the Amazon Data Processing MCP Server MCP server (awslabs.aws-dataprocessing-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Amazon Data Processing MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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805 Amazon Data Processing MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.