Score budget allocation efficiency across every ENABLED
AI agents call google_ads_budget_efficiency to retrieve information from Mureo without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and analyzes budget efficiency metrics from Google Ads accounts. It performs a computational analysis (scoring) on existing data without creating, modifying, deleting resources, or triggering financial transactions. The 'score' operation is fundamentally a Read operation — it queries and evaluates data to produce insights. No side effects on account state, spend, or configurations are indicated.
From the tool's definition Tool name 'google_ads_budget_efficiency' and verb 'Score' indicates analysis/measurement of existing data.
Risk signalsBulk/mass operation — affects multiple targets
Documented attack patterns abuse exactly the kind of access google_ads_budget_efficiency gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Mureo, and nothing reaches the server without passing your rules. This is the rule we recommend for google_ads_budget_efficiency:
{
"version": "1",
"default": "deny",
"tools": {
"google_ads_budget_efficiency": {}
}
} google_ads_budget_efficiency is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Score budget allocation efficiency across every ENABLED. It is categorised as a Read tool in the Mureo MCP Server, which means it retrieves data without modifying state.
Register the Mureo MCP server in PolicyLayer and add a rule for google_ads_budget_efficiency: 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 Mureo. Nothing to install.
google_ads_budget_efficiency 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 google_ads_budget_efficiency 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 google_ads_budget_efficiency. 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.
google_ads_budget_efficiency is provided by the Mureo MCP server (logly/mureo). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Mureo, 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.
185 Mureo tools catalogued and risk-classified — across an index of 43,000+ MCP servers.