This record as markdown: /tools/io-github-kivanccakmak-yaver/docker-images.md
What docker_images does on Yaver
AI agents call docker_images 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 docker_images is rated Low
The tool lists Docker images, which is a read-only operation that queries local system state. It has no side effects, does not execute code or containers, does not delete or modify images, and does not affect system functionality. The blast radius of misuse is minimal—an agent could only gain visibility into what Docker images are available locally.
From the tool's definition Tool name is 'docker_images' with description 'List Docker images on the machine.' This is a query operation that retrieves existing data without modification or execution.
Attacks that exploit this kind of access
The rule that runs docker_images 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 docker_images, this is the rule to start with:
docker_images 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 docker_images call is checked against it from then on.
Questions about docker_images
List Docker images on the machine. 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 docker_images: 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.
docker_images 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 docker_images 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 docker_images. 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.
docker_images 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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