analyze_sandbox_ops

THE RISK

Low Risk

Why analyze_sandbox_ops needs a policy

The tool performs static analysis and inspection of sandbox-related data structures in compiled binaries. Analysis activities (examining, inspecting, decompiling, reverse-engineering) are read operations — they retrieve and interpret information without modifying the binary, executing code, or causing side effects.

From the tool's definition Tool name is 'analyze_sandbox_ops' and description states 'Analyze sandbox operations, profiles, and policy checks' — these are read-only inspection and analysis operations characteristic of reverse engineering and security research, with no modification or…

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

POLICY

How to control analyze_sandbox_ops

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 analyze_sandbox_ops:

policy.json

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

analyze_sandbox_ops 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 Kawaiidra MCP — 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

Related tools and policies

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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.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about analyze_sandbox_ops

What does the analyze_sandbox_ops tool do? +

Analyze sandbox operations, profiles, and policy 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 analyze_sandbox_ops? +

Register the Kawaiidra MCP server in PolicyLayer and add a rule for analyze_sandbox_ops: 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 analyze_sandbox_ops? +

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

Can I rate-limit analyze_sandbox_ops? +

Yes. Add a rate_limit block to the analyze_sandbox_ops 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_sandbox_ops completely? +

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

analyze_sandbox_ops 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.

CHECK YOUR STACK →