guest_leave
Remove YOUR OWN access to SOMEONE ELSE'S machines. You are the guest here: this walks you out of a host's shared infra, so you can no longer use their machines. It does not touch your own machines and does not remove anyone else. Reversible — the host can share again and you can accept again with...
This record as markdown: /tools/io-github-kivanccakmak-yaver/guest-leave.md
What guest_leave does on Yaver
AI agents use guest_leave to create or update resources in Yaver, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Yaver environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
hostEmail | string | — | Email address of the host whose shared machines you want to stop using. Provide either hostUserId or hostEmail. |
hostUserId | string | — | Public Yaver user id of the host whose shared machines you want to stop using. Provide either hostUserId or hostEmail. |
Parameters from the server's own tool schema.
Why guest_leave is rated Medium
This tool modifies access/permission state by removing the agent's guest access to a host's machines. It is explicitly described as reversible, so it does not qualify as Destructive. It is a Write operation (modifying an access relationship), not merely a Read. Misuse could disrupt ongoing work by severing infrastructure access, hence medium severity.
From the tool's definition Remove YOUR OWN access to SOMEONE ELSE'S machines... walks you out of a host's shared infra... Reversible — the host can share again and you can accept again with guest_accept.
Attacks that exploit this kind of access
The rule that runs guest_leave safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Yaver, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For guest_leave, this is the rule to start with:
guest_leave 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 Yaver, apply this rule, and every guest_leave call is checked against it from then on.
Questions about guest_leave
Remove YOUR OWN access to SOMEONE ELSE'S machines. You are the guest here: this walks you out of a host's shared infra, so you can no longer use their machines. It does not touch your own machines and does not remove anyone else. Reversible — the host can share again and you can accept again with guest_accept. Do NOT use this to kick a guest off your own machines — that is guest_revoke. Identify the host by their Yaver user id or their email; at least one is required. It is categorised as a Write tool in the Yaver MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
guest_leave accepts 2 parameters: hostEmail, hostUserId. The full parameter table on this page comes from the server's own tool schema.
Register the Yaver MCP server in PolicyLayer and add a rule for guest_leave: 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 Yaver. Nothing to install.
guest_leave 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 guest_leave 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 guest_leave. 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.
guest_leave is provided by the Yaver MCP server (yaver-cli). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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