Trigger a refresh for the given query (POST /refresh).
AI agents invoke refresh to trigger actions in Cube Js MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
Refreshing analytics data is an Execute action because it triggers external operations (pre-aggregation recomputation, cache invalidation) whose effects depend on user-supplied arguments. While not destructive (data is not permanently deleted) or financial, it modifies system state by forcing recomputation of cached datasets.
From the tool's definition Tool performs 'Trigger a refresh for the given query' via POST request. Refresh operations execute background processes that recompute pre-aggregations and cached analytics data, which are external operations with side effects that depend on the query…
Documented attack patterns abuse exactly the kind of access refresh gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Cube Js MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for refresh:
{
"version": "1",
"default": "deny",
"tools": {
"refresh": {
"limits": [
{
"counter": "refresh_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} refresh stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
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Trigger a refresh for the given query (POST /refresh). It is categorised as a Execute tool in the Cube Js MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Cube Js MCP Server MCP server in PolicyLayer and add a rule for refresh: 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 Cube Js MCP Server. Nothing to install.
refresh is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the refresh 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 refresh. 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.
refresh is provided by the Cube Js MCP Server MCP server (zsembek/cube.js-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Cube Js MCP Server, 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.
10 Cube Js MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.