analyze_performance

THE RISK

Low Risk

Why analyze_performance needs a policy

This tool retrieves and analyzes performance metrics from web pages—a passive data collection activity with no side effects, no code execution, no data modification, and no destructive actions. It fits squarely within the Read category as a monitoring/auditing tool.

From the tool's definition Tool name 'analyze_performance' and description 'Analyze web page performance metrics' indicate data retrieval and analysis without modification or execution of external systems.

Documented attack patterns abuse exactly the kind of access analyze_performance gives an agent:

POLICY

How to control analyze_performance

PolicyLayer is an MCP gateway — it sits between your AI agents and MCP Web Scrape, and nothing reaches the server without passing your rules. This is the rule we recommend for analyze_performance:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "analyze_performance": {}
  }
}

analyze_performance is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

Create a free account and register MCP Web Scrape — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

CAP THIS TOOL →

Free to start. No card required.

EXPLORE

Related tools and policies

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about analyze_performance

What does the analyze_performance tool do? +

Analyze web page performance metrics. It is categorised as a Read tool in the MCP Web Scrape MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on analyze_performance? +

Register the MCP Web Scrape MCP server in PolicyLayer and add a rule for analyze_performance: 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 MCP Web Scrape. Nothing to install.

What risk level is analyze_performance? +

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

Can I rate-limit analyze_performance? +

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

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

analyze_performance is provided by the MCP Web Scrape MCP server (mukul975/mcp-web-scrape). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every MCP Web Scrape tool call.

Start from MCP Web Scrape, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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