parse_job_posting_tool · Interview Prep MCP: Risk & Policy

WHAT IT DOES

What parse_job_posting_tool does on Interview Prep

AI agents invoke parse_job_posting_tool to trigger actions in Interview Prep. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

WHY IT NEEDS A POLICY

Why parse_job_posting_tool needs a policy

This tool fetches and processes external content (URL fetching, HTML parsing) and returns a stored record with an ID, implying it executes an outbound network request and writes a record to storage. The most severe applicable category is Execute due to the external URL fetch/HTML execution behavior, with possible side effects from parsing arbitrary HTML or storing results.

From the tool's definition Parse a job posting from a URL, raw HTML, or pasted text. Returns id + parsed fields.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

parse_job_posting_tool Rate-limited

parse_job_posting_tool stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "parse_job_posting_tool": {
      "limits": [
        {
          "counter": "parse_job_posting_tool_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Interview Prep, so you can run agents against it safely.

FAQ

Questions about parse_job_posting_tool

What does the parse_job_posting_tool tool do? +

Parse a job posting from a URL, raw HTML, or pasted text. Returns id + parsed fields. It is categorised as a Execute tool in the Interview Prep MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on parse_job_posting_tool? +

Register the Interview Prep MCP server in PolicyLayer and add a rule for parse_job_posting_tool: 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 Interview Prep. Nothing to install.

What risk level is parse_job_posting_tool? +

parse_job_posting_tool is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit parse_job_posting_tool? +

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

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

parse_job_posting_tool is provided by the Interview Prep MCP server (shenmali/interview-mcp-first). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.