yaver_health_deep
Per-subsystem actionable health: agent HTTP mux, tmux availability, runner keeper + per-session status (idle / stalled / draining), remote-runtime sessions + WebRTC pump liveness. Returns graduated recovery hints so callers can decide the escalation.
This record as markdown: /tools/io-github-kivanccakmak-yaver/yaver-health-deep.md
What yaver_health_deep does on Yaver
AI agents call yaver_health_deep 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_health_deep is rated Low
This tool queries and reports health status of various subsystems without making any changes. It provides diagnostic information to help callers decide recovery actions, but does not itself execute those actions, modify state, or trigger external operations. It is a pure diagnostic/monitoring query, fitting the Read category.
From the tool's definition Tool description explicitly states it 'Returns graduated recovery hints' and lists informational subsystem checks: 'agent HTTP mux, tmux availability, runner keeper, per-session status, remote-runtime sessions, WebRTC pump liveness.' No modifications,…
Attacks that exploit this kind of access
The rule that runs yaver_health_deep 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_health_deep, this is the rule to start with:
yaver_health_deep 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_health_deep call is checked against it from then on.
Questions about yaver_health_deep
Per-subsystem actionable health: agent HTTP mux, tmux availability, runner keeper + per-session status (idle / stalled / draining), remote-runtime sessions + WebRTC pump liveness. Returns graduated recovery hints so callers can decide the escalation. 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_health_deep: 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_health_deep 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_health_deep 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_health_deep. 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_health_deep 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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