check_job_status

THE RISK

Low Risk

Why check_job_status needs a policy

This tool retrieves information about an existing background job's status and progress. It has no side effects, does not execute code, does not modify data, and does not delete or move resources. It is purely observational and falls squarely into the Read category. The severity is low because checking status cannot cause harm even if called repeatedly or on arbitrary job IDs.

From the tool's definition The tool description states 'Check the status and progress of a background job' — this is a pure query operation that retrieves job status without modifying, executing, or affecting any data or processes.

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

POLICY

How to control check_job_status

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

policy.json

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

check_job_status 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 Sktime — 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 Sktime tools

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All 24 Sktime tools →

Read tools on other servers

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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 check_job_status

What does the check_job_status tool do? +

Check the status and progress of a background job. It is categorised as a Read tool in the Sktime MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on check_job_status? +

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

What risk level is check_job_status? +

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

Can I rate-limit check_job_status? +

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

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

check_job_status is provided by the Sktime MCP server (sktime/sktime-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Sktime tool call.

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

CHECK YOUR STACK →