get_scoring_rules

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/get-scoring-rules.md

WHAT IT DOES

What get_scoring_rules does on Ad Lab

AI agents call get_scoring_rules 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 get_scoring_rules is rated Low

Even though get_scoring_rules 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 get_scoring_rules 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 get_scoring_rules, this is the rule to start with:

get_scoring_rules Allowed

get_scoring_rules 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": {
    "get_scoring_rules": {}
  }
}

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 get_scoring_rules call is checked against it from then on.

FAQ

Questions about get_scoring_rules

What does the get_scoring_rules tool do? +

Fetch the live winner/loser bar the scorer actually enforces: minimum ROAS and purchases for a winner (both must clear in the same window), the loser impression floor, and the maturity period before any verdict. Served from the scoring module itself, so it stays correct when the owner moves a dial - these numbers have already moved twice. Call it instead of assuming a threshold. 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 get_scoring_rules? +

Register the Ad Lab MCP server in PolicyLayer and add a rule for get_scoring_rules: 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 get_scoring_rules? +

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

Can I rate-limit get_scoring_rules? +

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

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

get_scoring_rules 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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