preview_stop

Stop a preview environment.

SERVERYaver SOURCEyaver-cli

High RISK CLASS

Category Execute

Parameters 11 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-kivanccakmak-yaver/preview-stop.md

WHAT IT DOES

What preview_stop does on Yaver

AI agents invoke preview_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.

Parameter	Type	Required	Description
`branch`	string	Yes	Branch name or preview ID

Parameters from the server's own tool schema.

RISK

Why preview_stop is rated High

Stopping a preview environment is an execute action—it triggers an external operation (halting a service) whose effects are immediate and system-wide. While not destructive (the environment persists; it can be restarted) and not financial, it is a command that changes system state and could disrupt development workflows, CI/CD pipelines, or team collaboration if invoked incorrectly.

From the tool's definition Tool name 'preview_stop' and description 'Stop a preview environment' indicate an operational action that terminates a running process/service. The context of a mobile dev/deploy platform means this affects live infrastructure.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs preview_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 preview_stop, this is the rule to start with:

preview_stop Rate-limited

preview_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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "preview_stop": {
      "limits": [
        {
          "counter": "preview_stop_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Yaver, apply this rule, and every preview_stop call is checked against it from then on.

FAQ

Questions about preview_stop

What does the preview_stop tool do? +

Stop a preview environment. 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.

What parameters does preview_stop accept? +

preview_stop accepts 1 parameter: branch. Required: branch. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on preview_stop? +

Register the Yaver MCP server in PolicyLayer and add a rule for preview_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.

What risk level is preview_stop? +

preview_stop is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit preview_stop? +

Yes. Add a rate_limit block to the preview_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.

How do I block preview_stop completely? +

Set action: deny in the PolicyLayer policy for preview_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.

What MCP server provides preview_stop? +

preview_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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