This record as markdown: /tools/io-github-kivanccakmak-yaver/backend-stop.md
What backend_stop does on Yaver
AI agents invoke backend_stop to trigger actions in Yaver. 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 backend_stop is rated High
Stopping a backend service is an Execute action: it runs a command to halt an external process, has immediate side effects (service downtime), and is not reversible without manual restart. It is not Destructive because no data is deleted or overwritten.
From the tool's definition Tool description states 'Stop PocketBase backend' — this triggers an external operation (stopping a running service) whose effects depend on the arguments passed and the current system state.
Attacks that exploit this kind of access
The rule that runs backend_stop 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 backend_stop, this is the rule to start with:
backend_stop 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 Yaver, apply this rule, and every backend_stop call is checked against it from then on.
Questions about backend_stop
Stop PocketBase backend. It is categorised as a Execute tool in the Yaver MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Yaver MCP server in PolicyLayer and add a rule for backend_stop: 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.
backend_stop 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 backend_stop 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 backend_stop. 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.
backend_stop 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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