Medium Risk

update_application

Update a job application status or notes

Part of the Jobgpt server.

update_application can modify Jobgpt data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

SECURE JOBGPT →

Free to start. No card required.

AI agents use update_application 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 update_application 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": {
    "update_application": {
      "limits": [
        {
          "counter": "update_application_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Jobgpt policy for all 36 tools.

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

ENFORCE ON MY JOBGPT →

View all 36 tools →

These attack patterns abuse exactly the kind of access update_application 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 update_application only ever does what you allow.

SECURE JOBGPT →

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

What does the update_application tool do? +

Update a job application status or notes. 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 update_application? +

Register the Jobgpt MCP server in PolicyLayer and add a rule for update_application: 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 update_application? +

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

Can I rate-limit update_application? +

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

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

update_application 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.

Free to start. No card required.

4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.