list_winners

List winning Creative Specs for a product - Ad Lab creatives the scorer promoted to stage

SERVERAd Lab SOURCE@577-tools/ad-lab-mcp

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade C, identity unverified Pull the record →

This record as markdown: /tools/577-tools-ad-lab-mcp/list-winners.md

WHAT IT DOES

What list_winners does on Ad Lab

AI agents call list_winners to retrieve information from Ad Lab without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why list_winners is rated Low

Even though list_winners 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.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs list_winners safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Ad Lab, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For list_winners, this is the rule to start with:

list_winners Allowed

list_winners is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "list_winners": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Ad Lab, apply this rule, and every list_winners call is checked against it from then on.

FAQ

Questions about list_winners

What does the list_winners tool do? +

List winning Creative Specs for a product - Ad Lab creatives the scorer promoted to stage. It is categorised as a Read tool in the Ad Lab MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on list_winners? +

Register the Ad Lab MCP server in PolicyLayer and add a rule for list_winners: 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 Ad Lab. Nothing to install.

What risk level is list_winners? +

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

Can I rate-limit list_winners? +

Yes. Add a rate_limit block to the list_winners 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 list_winners completely? +

Set action: deny in the PolicyLayer policy for list_winners. 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 list_winners? +

list_winners is provided by the Ad Lab MCP server (@577-tools/ad-lab-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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