Low Risk

analyze_job_description

Analyze a job description to extract required skills, nice-to-haves, red flags, and estimated seniority level. Deterministic analysis — uses no AI credits, but requires a connected AI Applyd account.

Part of the AI Applyd server.

analyze_job_description is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call analyze_job_description to retrieve information from AI Applyd without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though analyze_job_description only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "analyze_job_description": {}
  }
}

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

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

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the analyze_job_description tool do? +

Analyze a job description to extract required skills, nice-to-haves, red flags, and estimated seniority level. Deterministic analysis — uses no AI credits, but requires a connected AI Applyd account.. It is categorised as a Read tool in the AI Applyd MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on analyze_job_description? +

Register the AI Applyd MCP server in PolicyLayer and add a rule for analyze_job_description: 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 AI Applyd. Nothing to install.

What risk level is analyze_job_description? +

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

Can I rate-limit analyze_job_description? +

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

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

analyze_job_description is provided by the AI Applyd MCP server (https://mcp.aiapplyd.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every AI Applyd tool call.

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