yaver_onboard
Drive the first-run onboarding flow for a fresh Yaver install. Returns the ordered checklist of steps the user still needs to complete (auth, bootstrap secret, tunnel, runner, etc.) based on the current config state. Call this before doing any setup work so you know where to start.
This record as markdown: /tools/io-github-kivanccakmak-yaver/yaver-onboard.md
What yaver_onboard does on Yaver
AI agents call yaver_onboard to retrieve information from Yaver without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why yaver_onboard is rated Low
The tool reads and inspects the current configuration state to determine which onboarding steps remain. It returns a checklist but does not perform any setup actions itself — it is a diagnostic/status query tool. The phrase 'before doing any setup work' confirms it is read-only preparation, not execution.
From the tool's definition Returns the ordered checklist of steps the user still needs to complete... based on the current config state. Call this before doing any setup work so you know where to start.
Attacks that exploit this kind of access
The rule that runs yaver_onboard 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 yaver_onboard, this is the rule to start with:
yaver_onboard is read-only, so it stays allowed. 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 yaver_onboard call is checked against it from then on.
Questions about yaver_onboard
Drive the first-run onboarding flow for a fresh Yaver install. Returns the ordered checklist of steps the user still needs to complete (auth, bootstrap secret, tunnel, runner, etc.) based on the current config state. Call this before doing any setup work so you know where to start. It is categorised as a Read tool in the Yaver MCP Server, which means it retrieves data without modifying state.
Register the Yaver MCP server in PolicyLayer and add a rule for yaver_onboard: 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.
yaver_onboard is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the yaver_onboard 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 yaver_onboard. 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.
yaver_onboard 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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