Low Risk

promakeup_list_schools

Use when the user asks about makeup schools, programs, or specific qualifications (e.g. MUAQS). Returns school listings filterable by country, city, and certification offered.

Part of the Pro Makeup server.

promakeup_list_schools 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 promakeup_list_schools to retrieve information from Pro Makeup 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 promakeup_list_schools 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": {
    "promakeup_list_schools": {}
  }
}

See the full Pro Makeup policy for all 8 tools.

Get this rule live on your own Pro Makeup 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 promakeup_list_schools 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 promakeup_list_schools 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 promakeup_list_schools tool do? +

Use when the user asks about makeup schools, programs, or specific qualifications (e.g. MUAQS). Returns school listings filterable by country, city, and certification offered.. It is categorised as a Read tool in the Pro Makeup MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on promakeup_list_schools? +

Register the Pro Makeup MCP server in PolicyLayer and add a rule for promakeup_list_schools: 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 Pro Makeup. Nothing to install.

What risk level is promakeup_list_schools? +

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

Can I rate-limit promakeup_list_schools? +

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

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

promakeup_list_schools is provided by the Pro Makeup MCP server (https://pro.makeup/api/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Pro Makeup tool call.

Deterministic rules across all 8 Pro Makeup tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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