AI agents call get_firewall 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 performs a read-only retrieval operation. It queries firewall information by ID and returns data with no side effects. Even though firewalls are security-related resources in cloud infrastructure, the tool itself only fetches existing data and does not execute commands, modify configurations, or affect infrastructure state.
From the tool's definition Tool name is 'get_firewall' and description states 'Get a single firewall by ID', which retrieves firewall configuration data without modifying or deleting it.
Attacks that exploit this kind of access
Get a single firewall by ID. 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 get_firewall: 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.
get_firewall 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_firewall 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_firewall. 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_firewall 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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