creds_create_vault · ML Lab MCP: Risk & Policy

WHAT IT DOES

What creds_create_vault does on ML Lab MCP

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

WHY IT NEEDS A POLICY

Why creds_create_vault needs a policy

This tool creates a new encrypted vault for storing credentials. While it is reversible (a vault can be deleted), it is a write operation that establishes a new security-sensitive resource. The severity is high because credential vaults store sensitive authentication information; misuse could lead to creation of vaults that lock out legitimate users or create security vulnerabilities.

From the tool's definition Tool name includes 'create' and description states 'Create a new encrypted credential vault with a password'. The verb 'create' indicates a write operation that produces a new persistent resource.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

creds_create_vault Rate-limited

creds_create_vault 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": {
    "creds_create_vault": {
      "limits": [
        {
          "counter": "creds_create_vault_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 ML Lab MCP, so you can run agents against it safely.

FAQ

Questions about creds_create_vault

What does the creds_create_vault tool do? +

Create a new encrypted credential vault with a password. It is categorised as a Write tool in the ML Lab MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on creds_create_vault? +

Register the ML Lab MCP server in PolicyLayer and add a rule for creds_create_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 ML Lab MCP. Nothing to install.

What risk level is creds_create_vault? +

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

Can I rate-limit creds_create_vault? +

Yes. Add a rate_limit block to the creds_create_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 creds_create_vault completely? +

Set action: deny in the PolicyLayer policy for creds_create_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 creds_create_vault? +

creds_create_vault is provided by the ML Lab MCP server (pushpullcommitpush/ml-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.