AI agents call get_service to retrieve information from Coolify without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This is a read-only operation that retrieves service details/status information. However, in an infrastructure management context (Coolify), detailed service information could expose sensitive configuration, credentials, or system architecture details, warranting medium severity if misused by an untrusted agent to profile the infrastructure.
From the tool's definition Tool name 'get_service' with description 'Service details' indicates retrieval of information about services. No modification, deletion, or execution keywords present.
Attacks that exploit this kind of access
Service details. It is categorised as a Read tool in the Coolify MCP Server, which means it retrieves data without modifying state.
Register the Coolify MCP server in PolicyLayer and add a rule for get_service: 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 Coolify. Nothing to install.
get_service 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 get_service 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 get_service. 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.
get_service is provided by the Coolify MCP server (jurislm/coolify-mcp). 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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