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models_ps

Show currently loaded models and their memory usage.

SERVERYaver SOURCEyaver-cli
Low RISK CLASS
Category Read
Parameters 00 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-kivanccakmak-yaver/models-ps.md

What models_ps does on Yaver

AI agents call models_ps 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_ps is rated Low

This tool retrieves and displays information about loaded models and their resource consumption. It is purely observational—no data is created, modified, deleted, or executed. The action is a read-only status check similar to system monitoring commands (e.g., 'ps' in Unix). There is minimal risk even if misused by an AI agent, as it cannot alter system state or trigger unintended operations.

From the tool's definition Tool name 'models_ps' and description 'Show currently loaded models and their memory usage' indicate a query/inspection operation with no side effects.

Questions about models_ps

What does the models_ps tool do? +

Show currently loaded models and their memory usage. It is categorised as a Read tool in the Yaver MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on models_ps? +

Register the Yaver MCP server in PolicyLayer and add a rule for models_ps: 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 models_ps? +

models_ps is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit models_ps? +

Yes. Add a rate_limit block to the models_ps 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 models_ps completely? +

Set action: deny in the PolicyLayer policy for models_ps. 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 models_ps? +

models_ps 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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