AI agents call docker_logs to retrieve information from Log without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool retrieves historical log entries from a Docker container. It has no side effects, does not modify container state or logs, does not execute commands, and does not move data. The worst-case misuse is information disclosure of logs already present in the system, which is a low-severity read-category risk.
From the tool's definition Tool performs 'Tail last N lines from a Docker container's logs' — a read-only operation that retrieves log data without modification, creation, deletion, or execution of code.
Attacks that exploit this kind of access
Tail last N lines from a Docker container's logs. It is categorised as a Read tool in the Log MCP Server, which means it retrieves data without modifying state.
Register the Log 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 Log. 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 Log MCP server (sheikhbasit/log-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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