Runs dotnet clean to remove build outputs and returns structured results.
AI agents call clean to permanently remove resources in Go — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
The tool removes/deletes build outputs as its primary function. While 'clean' operations are standard development tasks, they irreversibly delete files and artifacts. This qualifies as Destructive rather than Execute because the core action is deletion.
From the tool's definition The tool 'runs dotnet clean to remove build outputs' - this is an irreversible deletion of build artifacts that cannot be recovered from the tool's operation alone.
Documented attack patterns abuse exactly the kind of access clean gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Go, and nothing reaches the server without passing your rules. This is the rule we recommend for clean:
{
"version": "1",
"default": "deny",
"hide": [
"clean"
]
}clean disappears from the agent's tool list entirely, and any attempt to call it is denied. The rest of the server keeps working.
Free to start. No card required.
Runs dotnet clean to remove build outputs and returns structured results. It is categorised as a Destructive tool in the Go MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Go MCP server in PolicyLayer and add a rule for 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 Go. Nothing to install.
clean is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the 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 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.
clean is provided by the Go MCP server (Dave-London/Pare). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Go, 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.
202 Go tools catalogued and risk-classified — across an index of 43,000+ MCP servers.