AI agents call average to retrieve information from Awesome-MCP-Scaffold without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool performs a mathematical calculation on provided numerical input and returns a result. This is a read-only operation with no side effects, no data modification, no code execution beyond arithmetic, and no irreversible actions. It is analogous to a simple query or computation utility.
From the tool's definition Tool name 'average' and description 'Calculate average of a list of numbers' indicates a pure computational operation that reads input data and returns a calculated result without modifying, deleting, or executing external operations.
Documented attack patterns abuse exactly the kind of access average gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Awesome-MCP-Scaffold, and nothing reaches the server without passing your rules. This is the rule we recommend for average:
{
"version": "1",
"default": "deny",
"tools": {
"average": {}
}
}average is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Calculate average of a list of numbers. It is categorised as a Read tool in the Awesome-MCP-Scaffold MCP Server, which means it retrieves data without modifying state.
Register the Awesome-MCP-Scaffold MCP server in PolicyLayer and add a rule for average: 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 Awesome-MCP-Scaffold. Nothing to install.
average 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 average 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 average. 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.
average is provided by the Awesome-MCP-Scaffold MCP server (ww-ai-lab/awesome-mcp-scaffold). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Awesome-MCP-Scaffold, 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.
24 Awesome-MCP-Scaffold tools catalogued and risk-classified — across an index of 43,000+ MCP servers.