AI agents call docker_errors 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.
This tool retrieves and analyzes log data from a Docker container to identify and summarize error patterns. It has no side effects—it does not modify, delete, execute code, or commit financial transactions. The worst-case misuse would be exposure of sensitive information already present in logs, which is a read-level risk.
From the tool's definition Tool 'docker_errors' summarizes and groups errors from Docker container logs without modifying, deleting, or executing operations.
Attacks that exploit this kind of access
Summarize and group errors 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_errors: 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_errors 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_errors 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_errors. 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_errors 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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