get_job_details

THE RISK

Low Risk

Why get_job_details needs a policy

This tool retrieves and queries job information from a user's queue. It performs a read-only operation that returns job metadata, form data, and application status without creating, modifying, deleting, or executing any external actions. The data retrieved is informational only.

From the tool's definition Tool name 'get_job_details' and description 'Get full details about a job in your queue — description, AI-filled answers, prefill status, and scraped form data' indicate a retrieval operation with no side effects.

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

POLICY

How to control get_job_details

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

policy.json

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

get_job_details 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 Shortlist 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.

CAP THIS TOOL →

Free to start. No card required.

EXPLORE

Related tools and policies

More Shortlist MCP Server tools

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All 32 Shortlist MCP Server tools →

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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 get_job_details

What does the get_job_details tool do? +

Get full details about a job in your queue — description, AI-filled answers, prefill status, and scraped form data. It is categorised as a Read tool in the Shortlist MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_job_details? +

Register the Shortlist MCP Server MCP server in PolicyLayer and add a rule for get_job_details: 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 Shortlist MCP Server. Nothing to install.

What risk level is get_job_details? +

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

Can I rate-limit get_job_details? +

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

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

get_job_details is provided by the Shortlist MCP Server MCP server (mls-tech-inc/shortlistjobs-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Shortlist MCP Server tool call.

Start from Shortlist 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 →