Medium Risk

user-apply-job

指定职位id和职位类型应聘职位

Part of the Liepin Jobs server.

user-apply-job can modify Liepin Jobs data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use user-apply-job to create or modify resources in Liepin Jobs. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call user-apply-job repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Liepin Jobs.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "user-apply-job": {
      "limits": [
        {
          "counter": "user-apply-job_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Liepin Jobs policy for all 14 tools.

Get this rule live on your own Liepin Jobs server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access user-apply-job gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so user-apply-job only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the user-apply-job tool do? +

指定职位id和职位类型应聘职位. It is categorised as a Write tool in the Liepin Jobs MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on user-apply-job? +

Register the Liepin Jobs MCP server in PolicyLayer and add a rule for user-apply-job: 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 Liepin Jobs. Nothing to install.

What risk level is user-apply-job? +

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

Can I rate-limit user-apply-job? +

Yes. Add a rate_limit block to the user-apply-job 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 user-apply-job completely? +

Set action: deny in the PolicyLayer policy for user-apply-job. 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 user-apply-job? +

user-apply-job is provided by the Liepin Jobs MCP server (https://open-agent.liepin.com/mcp/user). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Liepin Jobs tool call.

Deterministic rules across all 14 Liepin Jobs tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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