AI agents call cloud_get_service to retrieve information from MCP ClickHouse without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves service configuration and status details from ClickHouse Cloud. While it is non-destructive and read-only, the severity is medium rather than low because exposed service details (API endpoints, configuration, resource allocation, status) could be valuable for reconnaissance by an attacker planning further exploitation, especially when paired with sibling write/destructive tools on the same server.
From the tool's definition Tool name 'cloud_get_service' and description 'Get details of a specific service' indicate a retrieval operation that queries cloud infrastructure metadata without modifying state.
Documented attack patterns abuse exactly the kind of access cloud_get_service gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCP ClickHouse, and nothing reaches the server without passing your rules. This is the rule we recommend for cloud_get_service:
{
"version": "1",
"default": "deny",
"tools": {
"cloud_get_service": {}
}
} cloud_get_service is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Get details of a specific service. It is categorised as a Read tool in the MCP ClickHouse MCP Server, which means it retrieves data without modifying state.
Register the MCP ClickHouse MCP server in PolicyLayer and add a rule for cloud_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 MCP ClickHouse. Nothing to install.
cloud_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 cloud_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 cloud_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.
cloud_get_service is provided by the MCP ClickHouse MCP server (oualib/chmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MCP ClickHouse, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
55 MCP ClickHouse tools catalogued and risk-classified — across an index of 43,000+ MCP servers.