rank_wonder_variants

rank_wonder_variants

Server Livepilot livepilot
Category Read
Risk class Low
Parameters 00 required

What rank_wonder_variants does on Livepilot

AI agents call rank_wonder_variants to retrieve information from Livepilot without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why rank_wonder_variants needs a policy

Even though rank_wonder_variants only reads data, uncontrolled read access leaks sensitive information and racks up API costs — an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

Questions about rank_wonder_variants

What does the rank_wonder_variants tool do? +

rank_wonder_variants. It is categorised as a Read tool in the Livepilot MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on rank_wonder_variants? +

Register the Livepilot MCP server in PolicyLayer and add a rule for rank_wonder_variants: 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 Livepilot. Nothing to install.

What risk level is rank_wonder_variants? +

rank_wonder_variants is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit rank_wonder_variants? +

Yes. Add a rate_limit block to the rank_wonder_variants 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.

How do I block rank_wonder_variants completely? +

Set action: deny in the PolicyLayer policy for rank_wonder_variants. 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.

What MCP server provides rank_wonder_variants? +

rank_wonder_variants is provided by the Livepilot MCP server (livepilot). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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