This record as markdown: /tools/io-github-kivanccakmak-yaver/storage-stop.md
What storage_stop does on Yaver
AI agents invoke storage_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 storage_stop is rated High
This is an Execute risk because it runs a command to stop a service, which has side effects in the local development environment. It is not Destructive because stopping a service is reversible (the service can be restarted). It is not Read or Write since it neither retrieves nor creates/modifies data directly.
From the tool's definition The tool 'storage_stop' performs an action that stops a running service (MinIO storage). The verb 'stop' indicates it triggers an external operation whose effects depend on execution context.
Attacks that exploit this kind of access
The rule that runs storage_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 storage_stop, this is the rule to start with:
storage_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 storage_stop call is checked against it from then on.
Questions about storage_stop
Stop local MinIO storage. 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 storage_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.
storage_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 storage_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 storage_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.
storage_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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