Medium Risk

add_job_to_applications

Add a job from search results to your applications. Use this when a user wants to save/track a job they found.

Part of the Jobgpt server.

add_job_to_applications can modify Jobgpt 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 add_job_to_applications to create or modify resources in Jobgpt. 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 add_job_to_applications 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 Jobgpt.

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

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "add_job_to_applications": {
      "limits": [
        {
          "counter": "add_job_to_applications_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Jobgpt policy for all 36 tools.

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These attack patterns abuse exactly the kind of access add_job_to_applications 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 add_job_to_applications 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 add_job_to_applications tool do? +

Add a job from search results to your applications. Use this when a user wants to save/track a job they found.. It is categorised as a Write tool in the Jobgpt MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on add_job_to_applications? +

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

What risk level is add_job_to_applications? +

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

Can I rate-limit add_job_to_applications? +

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

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

add_job_to_applications is provided by the Jobgpt MCP server (jobgpt-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Jobgpt tool call.

Deterministic rules across all 36 Jobgpt tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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