AI agents call percentage 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.
This is a mathematical utility function that performs a read-only calculation. It takes numeric inputs and returns a computed result. There are no data modifications, destructive operations, external system interactions, or financial implications. The tool is entirely deterministic and stateless, making it a low-risk Read category operation.
From the tool's definition Tool name 'percentage' and description 'Calculate percentage of a number' indicate a pure computational function that retrieves or derives a calculated result from input parameters without modifying any state, creating side effects, or accessing external…
Documented attack patterns abuse exactly the kind of access percentage 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 percentage:
{
"version": "1",
"default": "deny",
"tools": {
"percentage": {}
}
}percentage is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Calculate percentage of a number. 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 percentage: 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.
percentage 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 percentage 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 percentage. 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.
percentage 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.
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24 Awesome-MCP-Scaffold tools catalogued and risk-classified — across an index of 43,000+ MCP servers.