cache_set_multi · Amazon SageMaker AI MCP Server MCP

WHAT IT DOES

What cache_set_multi does on Amazon SageMaker AI MCP Server

AI agents use cache_set_multi to create or update resources in Amazon SageMaker AI MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Amazon SageMaker AI MCP Server environment.

WHY IT NEEDS A POLICY

Why cache_set_multi needs a policy

This tool writes to a cache by setting multiple values, which is a reversible operation (values can be overwritten or cleared). It does not read data (Read), execute arbitrary code (Execute), permanently delete data (Destructive), or move money (Financial).

From the tool's definition Tool name 'cache_set_multi' and description 'Set multiple values in the cache' indicate creation or modification of cached data. The phrase 'Set multiple values' is a write operation.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

cache_set_multi Rate-limited

cache_set_multi stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "cache_set_multi": {
      "limits": [
        {
          "counter": "cache_set_multi_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Amazon SageMaker AI MCP Server, so you can run agents against it safely.

FAQ

Questions about cache_set_multi

What does the cache_set_multi tool do? +

Set multiple values in the cache (alias for set_many). It is categorised as a Write tool in the Amazon SageMaker AI MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on cache_set_multi? +

Register the Amazon SageMaker AI MCP Server MCP server in PolicyLayer and add a rule for cache_set_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 SageMaker AI MCP Server. Nothing to install.

What risk level is cache_set_multi? +

cache_set_multi is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit cache_set_multi? +

Yes. Add a rate_limit block to the cache_set_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.

How do I block cache_set_multi completely? +

Set action: deny in the PolicyLayer policy for cache_set_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.

What MCP server provides cache_set_multi? +

cache_set_multi is provided by the Amazon SageMaker AI MCP Server MCP server (awslabs.sagemaker-ai-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.