This record as markdown: /tools/io-github-kivanccakmak-yaver/models-status.md
What models_status does on Yaver
AI agents call models_status 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 models_status is rated Low
This tool only retrieves and reports the current status of Ollama (a local LLM framework), similar to status checks or health probes. It has no side effects, does not modify data, execute code, or trigger operations. The information returned is read-only diagnostic data. Severity is low because misuse would only expose system state information without enabling harmful actions.
From the tool's definition Tool name 'models_status' and description 'Check Ollama status: running, port, GPU, model count' indicates a read-only query operation that retrieves state information without modification or execution of external commands.
Attacks that exploit this kind of access
The rule that runs models_status 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 models_status, this is the rule to start with:
models_status 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 models_status call is checked against it from then on.
Questions about models_status
Check Ollama status: running, port, GPU, model count. 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 models_status: 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.
models_status 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 models_status 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 models_status. 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.
models_status 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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