Rank apps by revenue. Use for:
AI agents call top_apps to retrieve information from AdMob MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries AdMob data to rank apps by revenue, which is a read/reporting operation. No data is created, modified, or deleted. The description is minimal but consistent with a read-only analytics query. Severity is low as misuse only exposes revenue ranking data.
From the tool's definition 'Rank apps by revenue' — retrieves and ranks existing revenue data; no side effects described.
Attacks that exploit this kind of access
Rank apps by revenue. Use for:. It is categorised as a Read tool in the AdMob MCP Server MCP Server, which means it retrieves data without modifying state.
Register the AdMob MCP Server MCP server in PolicyLayer and add a rule for top_apps: 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 AdMob MCP Server. Nothing to install.
top_apps 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 top_apps 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 top_apps. 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.
top_apps is provided by the AdMob MCP Server MCP server (willhou/admob-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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