device_crawl_api

THE RISK

Low Risk

Why device_crawl_api needs a policy

This tool queries metadata about actor APIs to enumerate available methods and properties. It is informational only, returning data about the actor's interface without side effects. This fits the Read category (retrieves or queries data; no side effects). The low severity reflects minimal blast radius — misuse would only expose metadata, not corrupt data or trigger unwanted actions.

From the tool's definition Tool performs 'Discover available methods and properties on selected actors via API crawl' — a pure discovery/inspection operation that introspects existing actor definitions without modifying state, creating resources, or executing arbitrary code.

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

POLICY

How to control device_crawl_api

PolicyLayer is an MCP gateway — it sits between your AI agents and Uefn, and nothing reaches the server without passing your rules. This is the rule we recommend for device_crawl_api:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "device_crawl_api": {}
  }
}

device_crawl_api is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

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

CAP THIS TOOL →

Free to start. No card required.

EXPLORE

Related tools and policies

More Uefn tools

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All 143 Uefn tools →

Read tools on other servers

M-Team MCP Server get_torrent_detail YouTube MCP Server search_channel Android Forensics ADB MCP Server parse_browser_history 0xarchive web3_challenge

Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about device_crawl_api

What does the device_crawl_api tool do? +

Discover available methods and properties on selected actors via API crawl. It is categorised as a Read tool in the Uefn MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on device_crawl_api? +

Register the Uefn MCP server in PolicyLayer and add a rule for device_crawl_api: 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 Uefn. Nothing to install.

What risk level is device_crawl_api? +

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

Can I rate-limit device_crawl_api? +

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

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

device_crawl_api is provided by the Uefn MCP server (quangdang46/uefn-verse-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Uefn tool call.

Start from Uefn, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →