Per-container log driver, current size, and policy applied. Use to check which apps need fleet logs setup.
AI agents call fleet_logs_status to retrieve information from Fleet without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries the current state of container logging configurations (driver type, size, and policy details). It has no side effects, performs no modifications to system state, and triggers no external operations. It is purely informational for monitoring and diagnostic purposes. This is a classic Read operation with minimal blast radius if misused by an AI agent.
From the tool's definition Tool name 'fleet_logs_status' and description 'Per-container log driver, current size, and policy applied. Use to check which apps need fleet logs setup.' indicate retrieval of status information without modification or execution of actions.
Documented attack patterns abuse exactly the kind of access fleet_logs_status gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Fleet, and nothing reaches the server without passing your rules. This is the rule we recommend for fleet_logs_status:
{
"version": "1",
"default": "deny",
"tools": {
"fleet_logs_status": {}
}
} fleet_logs_status is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Per-container log driver, current size, and policy applied. Use to check which apps need fleet logs setup. It is categorised as a Read tool in the Fleet MCP Server, which means it retrieves data without modifying state.
Register the Fleet MCP server in PolicyLayer and add a rule for fleet_logs_status: 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 Fleet. Nothing to install.
fleet_logs_status 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 fleet_logs_status 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 fleet_logs_status. 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.
fleet_logs_status is provided by the Fleet MCP server (wrxck/fleet). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Fleet, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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39 Fleet tools catalogued and risk-classified — across an index of 43,000+ MCP servers.