This record as markdown: /tools/cowork-os/rhino.place-pool.md
What rhino.place_pool does on CoWork OS
AI agents use rhino.place_pool to create or update resources in CoWork OS, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your CoWork OS environment.
Why rhino.place_pool is rated Medium
The tool creates or modifies pool geometry objects (place = create, revise = update), which are reversible design artifacts. This is a Write operation rather than Read (which would be query-only) or Execute (which would run code/scripts).
From the tool's definition Tool description states 'Place or revise pool geometry' — indicates creation and modification of geometric objects in a design/modeling context.
Attacks that exploit this kind of access
The rule that runs rhino.place_pool safely
PolicyLayer is an MCP gateway: it sits between your AI agents and CoWork OS, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For rhino.place_pool, this is the rule to start with:
rhino.place_pool 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.
The button opens the PolicyLayer dashboard: create your workspace, connect CoWork OS, apply this rule, and every rhino.place_pool call is checked against it from then on.
Questions about rhino.place_pool
Place or revise pool geometry. It is categorised as a Write tool in the CoWork OS MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the CoWork OS MCP server in PolicyLayer and add a rule for rhino.place_pool: 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 CoWork OS. Nothing to install.
rhino.place_pool 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 rhino.place_pool 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 rhino.place_pool. 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.
rhino.place_pool is provided by the CoWork OS MCP server (CoWork-OS/CoWork-OS). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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