hash_set_multiple · Amazon SageMaker AI MCP Server MCP

WHAT IT DOES

What hash_set_multiple does on Amazon SageMaker AI MCP Server

AI agents use hash_set_multiple 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 hash_set_multiple needs a policy

This tool creates or modifies data reversibly by updating multiple fields in a hash data structure. It does not delete or destroy data (not Destructive), does not execute arbitrary code or commands (not Execute), and does not involve financial transactions (not Financial).

From the tool's definition 'Set multiple fields in hash' — modifies data within a hash structure by setting multiple field values.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

hash_set_multiple Rate-limited

hash_set_multiple 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": {
    "hash_set_multiple": {
      "limits": [
        {
          "counter": "hash_set_multiple_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 hash_set_multiple

What does the hash_set_multiple tool do? +

Set multiple fields in hash. 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 hash_set_multiple? +

Register the Amazon SageMaker AI MCP Server MCP server in PolicyLayer and add a rule for hash_set_multiple: 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 hash_set_multiple? +

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

Can I rate-limit hash_set_multiple? +

Yes. Add a rate_limit block to the hash_set_multiple 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 hash_set_multiple completely? +

Set action: deny in the PolicyLayer policy for hash_set_multiple. 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 hash_set_multiple? +

hash_set_multiple 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.