identity_get_token_vault

THE RISK

Low Risk

Why identity_get_token_vault needs a policy

With no description available, classification is uncertain. The name suggests a Read operation (get) on a token vault, which could involve retrieving credentials or tokens. However, without a description, confidence is low. Given sibling tools context (AWS data processing), this is likely a Read operation, but 'Other' is assigned due to insufficient information.

From the tool's definition Tool description is empty and uninformative; the name 'identity_get_token_vault' suggests retrieval of token/credential data.

Documented attack patterns abuse exactly the kind of access identity_get_token_vault gives an agent:

POLICY

How to control identity_get_token_vault

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 identity_get_token_vault:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "identity_get_token_vault": {
      "limits": [
        {
          "counter": "identity_get_token_vault_rate",
          "window": "minute",
          "max": 60,
          "scope": "grant"
        }
      ]
    }
  }
}

identity_get_token_vault gets a rate cap, and everything else on the server is denied unless you say otherwise.

Create a free account and register Amazon Data Processing MCP Server — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

SET A RULE FOR THIS TOOL →

Free to start. No card required.

EXPLORE

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All 805 Amazon Data Processing MCP Server tools →

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Go deeper

Roll out MCP under one policy → Per-person scoped tokens, one central policy, and full audit across every server your team connects.
The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Tool risk categories → How PolicyLayer classifies MCP tools by what they can do.
MCP tool → What an MCP tool is and how clients discover and call it.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →
PolicyLayer vs alternatives → How deterministic, per-call MCP policy compares with gateways, identity layers, and authorisation platforms.

FAQ

Questions about identity_get_token_vault

What does the identity_get_token_vault tool do? +

identity_get_token_vault. It is categorised as a Other tool in the Amazon Data Processing MCP Server MCP Server, which means it performs auxiliary operations.

How do I enforce a policy on identity_get_token_vault? +

Register the Amazon Data Processing MCP Server MCP server in PolicyLayer and add a rule for identity_get_token_vault: 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.

What risk level is identity_get_token_vault? +

identity_get_token_vault is a Other tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit identity_get_token_vault? +

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

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

identity_get_token_vault 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.

Enforce policy on every Amazon Data Processing MCP Server tool call.

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.

CHECK YOUR STACK →