AI agents call cloud_get_usage_cost 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.
Despite the empty description, the naming convention strongly suggests this retrieves usage and cost information from ClickHouse Cloud without modifying state. The 'get' verb is consistently associated with read operations. While the empty description lowers confidence slightly, the semantic meaning of 'get_usage_cost' indicates querying operational metrics rather than executing code or modifying infrastructure.
From the tool's definition Tool name 'cloud_get_usage_cost' contains 'get', which indicates data retrieval. The sibling tools show a pattern of cloud infrastructure management operations; 'cloud_get_*' tools appear to be read-only getters for cloud resource state and metrics.
Documented attack patterns abuse exactly the kind of access cloud_get_usage_cost 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_usage_cost:
{
"version": "1",
"default": "deny",
"tools": {
"cloud_get_usage_cost": {}
}
}cloud_get_usage_cost is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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cloud_get_usage_cost. 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_usage_cost: 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_usage_cost 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_usage_cost 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_usage_cost. 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_usage_cost 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.
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55 MCP ClickHouse tools catalogued and risk-classified — across an index of 43,000+ MCP servers.