AI agents use codegen_clean to create or update resources in Pen — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Pen environment.
This tool modifies state (cleaning up/removing a codegen plan) but does not irreversibly delete it—'clean up' suggests organized removal or reset of an abandoned plan. The idempotent nature and context within a document/code generation manager (OpenPencil) suggests data reorganization rather than destruction.
From the tool's definition Tool name 'codegen_clean' and description 'Manually clean up an abandoned codegen plan' indicates modification/cleanup of existing data structures.
Attacks that exploit this kind of access
Manually clean up an abandoned codegen plan. Idempotent. It is categorised as a Write tool in the Pen MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Pen MCP server in PolicyLayer and add a rule for codegen_clean: 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 Pen. Nothing to install.
codegen_clean is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the codegen_clean 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.
Set action: deny in the PolicyLayer policy for codegen_clean. 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.
codegen_clean is provided by the Pen MCP server (@zseven-w/pen-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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