docker_logs
Tail logs from a Docker container.
This record as markdown: /tools/mcp-control-plane/docker-logs.md
What docker_logs does on Mcp Control Plane
AI agents call docker_logs to retrieve information from Mcp Control Plane without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why docker_logs is rated Low
This tool queries and retrieves Docker container logs, which is a read-only operation. It does not create, modify, delete, or execute code. The logs may contain sensitive information (depending on what the container logs), but the tool itself is non-destructive and has no side effects.
From the tool's definition Tool name 'docker_logs' and description 'Tail logs from a Docker container' indicate retrieval of log data without modification or deletion.
Attacks that exploit this kind of access
The rule that runs docker_logs safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp Control Plane, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For docker_logs, this is the rule to start with:
docker_logs 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 Mcp Control Plane, apply this rule, and every docker_logs call is checked against it from then on.
Questions about docker_logs
Tail logs from a Docker container. It is categorised as a Read tool in the Mcp Control Plane MCP Server, which means it retrieves data without modifying state.
Register the Mcp Control Plane MCP server in PolicyLayer and add a rule for docker_logs: 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 Mcp Control Plane. Nothing to install.
docker_logs 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_logs 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_logs. 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_logs is provided by the Mcp Control Plane MCP server (albertik322-sudo/mcp-control-plane). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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