AI agents call list_datacenters to retrieve information from Hcloud without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and returns information about available datacenters without modifying any infrastructure or data. It is a pure read operation used for discovery purposes. The blast radius of misuse is minimal as it only exposes informational data about available infrastructure locations.
From the tool's definition The tool name is 'list_datacenters' and the description states it 'List all datacenters' - a retrieval operation with no modification capability.
Attacks that exploit this kind of access
List all datacenters (e.g. ash-dc1; where servers can be created). It is categorised as a Read tool in the Hcloud MCP Server, which means it retrieves data without modifying state.
Register the Hcloud MCP server in PolicyLayer and add a rule for list_datacenters: 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 Hcloud. Nothing to install.
list_datacenters 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 list_datacenters 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 list_datacenters. 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.
list_datacenters is provided by the Hcloud MCP server (xodus-co/hcloud-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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