Low Risk

detect_entitlement_checks

Find entitlement validation code and checks in iOS/macOS binaries.

How to control detect_entitlement_checks ↓

What detect_entitlement_checks does on Kawaiidra MCP

AI agents call detect_entitlement_checks to retrieve information from Kawaiidra MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why detect_entitlement_checks needs a policy

This tool retrieves and analyzes information about entitlement checks within compiled binaries. It does not execute code, modify binaries, delete data, or create side effects. It is purely a reverse engineering inspection tool, similar to other read-only analysis operations like disassembly or decompilation.

From the tool's definition Tool performs static analysis to 'Find entitlement validation code and checks' in binaries—a query/inspection operation with no modification, execution, or deletion of data.

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

How to control detect_entitlement_checks

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

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

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

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

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Questions about detect_entitlement_checks

What does the detect_entitlement_checks tool do? +

Find entitlement validation code and checks in iOS/macOS binaries. It is categorised as a Read tool in the Kawaiidra MCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on detect_entitlement_checks? +

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

What risk level is detect_entitlement_checks? +

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

Can I rate-limit detect_entitlement_checks? +

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

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

detect_entitlement_checks is provided by the Kawaiidra MCP server (wagonbomb/kawaiidra-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Kawaiidra MCP tool call.

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

Free to start. No card required.

94 Kawaiidra MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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