pf_review_reports

THE RISK

Low Risk

Why pf_review_reports needs a policy

This tool retrieves and queries moderation report data without creating, modifying, deleting, or executing operations. The admin-only restriction mitigates risk but does not change the fundamental Read category. Severity is medium rather than low because access to pending moderation reports could reveal sensitive user information or enforcement actions if an AI agent gains unauthorized context.

From the tool's definition Tool description states 'List pending moderation reports (admin-only)' — the verb 'list' indicates data retrieval with no modification or side effects.

Risk signalsAdmin/system-level operation

Documented attack patterns abuse exactly the kind of access pf_review_reports gives an agent:

POLICY

How to control pf_review_reports

PolicyLayer is an MCP gateway — it sits between your AI agents and Crow, and nothing reaches the server without passing your rules. This is the rule we recommend for pf_review_reports:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "pf_review_reports": {}
  }
}

pf_review_reports is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

Create a free account and register Crow — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

CAP THIS TOOL →

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EXPLORE

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
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FAQ

Questions about pf_review_reports

What does the pf_review_reports tool do? +

List pending moderation reports (admin-only). It is categorised as a Read tool in the Crow MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on pf_review_reports? +

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

What risk level is pf_review_reports? +

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

Can I rate-limit pf_review_reports? +

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

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

pf_review_reports is provided by the Crow MCP server (kh0pper/crow). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Crow tool call.

Start from Crow, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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