vacuum_clean_rooms
Start cleaning selected rooms on an explicit map with global settings.
This record as markdown: /tools/tolpo/vacuum-clean-rooms.md
What vacuum_clean_rooms does on Tolpo
AI agents invoke vacuum_clean_rooms to trigger actions in Tolpo. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why vacuum_clean_rooms is rated High
vacuum_clean_rooms triggers real processes with real consequences. An agent gone sideways doesn't fire it once. It starts dozens of builds, sends mass notifications, or burns through compute before anyone looks up.
Attacks that exploit this kind of access
The rule that runs vacuum_clean_rooms safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Tolpo, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For vacuum_clean_rooms, this is the rule to start with:
vacuum_clean_rooms stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Tolpo, apply this rule, and every vacuum_clean_rooms call is checked against it from then on.
Questions about vacuum_clean_rooms
Start cleaning selected rooms on an explicit map with global settings. It is categorised as a Execute tool in the Tolpo MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Tolpo MCP server in PolicyLayer and add a rule for vacuum_clean_rooms: 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 Tolpo. Nothing to install.
vacuum_clean_rooms is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the vacuum_clean_rooms 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 vacuum_clean_rooms. 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.
vacuum_clean_rooms is provided by the Tolpo MCP server (signerless/tolpo). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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