copilot_models
List the Ollama models the dev has pulled locally. Handy before calling copilot_complete.
This record as markdown: /tools/io-github-kivanccakmak-yaver/copilot-models.md
What copilot_models does on Yaver
AI agents call copilot_models 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 copilot_models is rated Low
This tool queries and returns a list of locally available Ollama models—a pure read operation with no side effects, state changes, or external operations. It serves an informational purpose to support other workflow decisions. The severity is low because reading a list of available models poses minimal risk even if misused by an AI agent.
From the tool's definition Tool name is 'copilot_models' and description states 'List the Ollama models the dev has pulled locally.' The verb 'List' is a read-only operation that retrieves information without modifying or executing anything.
Attacks that exploit this kind of access
The rule that runs copilot_models 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 copilot_models, this is the rule to start with:
copilot_models 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 copilot_models call is checked against it from then on.
Questions about copilot_models
List the Ollama models the dev has pulled locally. Handy before calling copilot_complete. 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 copilot_models: 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.
copilot_models 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 copilot_models 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 copilot_models. 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.
copilot_models 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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