auto_cleanup_dryrun

Plan experimental auto-cleanup without terminating anything, even when auto-cleanup is disabled.

Server Clean Process Ended marcelocaporale/clean-process-ended
Category Read
Risk class Low
Parameters 00 required

What auto_cleanup_dryrun does on Clean Process Ended

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

Why auto_cleanup_dryrun needs a policy

A dry-run that plans cleanup without actually executing any termination is purely a read/inspection operation. No processes are killed, no data is modified, and the description explicitly guarantees no side effects even when auto-cleanup would normally be disabled.

From the tool's definition 'Plan experimental auto-cleanup without terminating anything' — explicitly states no termination occurs; it is a dry-run that only plans actions.

Questions about auto_cleanup_dryrun

What does the auto_cleanup_dryrun tool do? +

Plan experimental auto-cleanup without terminating anything, even when auto-cleanup is disabled. It is categorised as a Read tool in the Clean Process Ended MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on auto_cleanup_dryrun? +

Register the Clean Process Ended MCP server in PolicyLayer and add a rule for auto_cleanup_dryrun: 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 Clean Process Ended. Nothing to install.

What risk level is auto_cleanup_dryrun? +

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

Can I rate-limit auto_cleanup_dryrun? +

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

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

auto_cleanup_dryrun is provided by the Clean Process Ended MCP server (marcelocaporale/clean-process-ended). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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