Medium Risk

create_function

Create a new function at a specified address. Useful for defining functions that Ghidra

How to control create_function ↓

What create_function does on Kawaiidra MCP

AI agents use create_function to create or update resources in Kawaiidra MCP — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Kawaiidra MCP environment.

Medium Risk

Why create_function needs a policy

This tool creates new function entries in the Ghidra project database, which modifies the analysis state reversibly. It is not a read-only query (Read), does not execute external code or commands (Execute), and does not permanently delete data (Destructive). While it modifies binary analysis metadata, these changes are reversible through standard undo/delete operations in Ghidra, making it a Write-category tool.

From the tool's definition Tool name 'create_function' and description 'Create a new function at a specified address' indicate data modification within a Ghidra binary analysis project.

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

How to control create_function

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 create_function:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "create_function": {
      "limits": [
        {
          "counter": "create_function_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

create_function stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. 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.
LIMIT THIS TOOL →

Free to start. No card required.

Related tools and policies

Go deeper

Questions about create_function

What does the create_function tool do? +

Create a new function at a specified address. Useful for defining functions that Ghidra. It is categorised as a Write tool in the Kawaiidra MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on create_function? +

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

create_function is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit create_function? +

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

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

create_function 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.

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.