analyze_metric · AWS Serverless MCP Server MCP

WHAT IT DOES

What analyze_metric does on AWS Serverless MCP Server

AI agents call analyze_metric to retrieve information from AWS Serverless MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

THE RISK

Low Risk

Why analyze_metric needs a policy

Based solely on the tool name 'analyze_metric', this appears to be a read-only operation that retrieves and examines metric data from AWS CloudWatch or similar services. No description is available to confirm the exact behavior, which lowers confidence. The naming convention is consistent with other analysis tools on the server (analyze_batch_translation_errors, analyze_canary_failures, analyze_cdk_project).

From the tool's definition Tool named 'analyze_metric' with no description provided. The name suggests analyzing existing metrics data without modification.

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

POLICY

How to control analyze_metric

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

policy.json

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

analyze_metric 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 AWS Serverless MCP Server — 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

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Go deeper

Roll out MCP under one policy → Per-person scoped tokens, one central policy, and full audit across every server your team connects.
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 →
PolicyLayer vs alternatives → How deterministic, per-call MCP policy compares with gateways, identity layers, and authorisation platforms.

FAQ

Questions about analyze_metric

What does the analyze_metric tool do? +

analyze_metric. It is categorised as a Read tool in the AWS Serverless MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on analyze_metric? +

Register the AWS Serverless MCP Server MCP server in PolicyLayer and add a rule for analyze_metric: 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 AWS Serverless MCP Server. Nothing to install.

What risk level is analyze_metric? +

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

Can I rate-limit analyze_metric? +

Yes. Add a rate_limit block to the analyze_metric 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_metric completely? +

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

analyze_metric is provided by the AWS Serverless MCP Server MCP server (awslabs.aws-serverless-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every AWS Serverless MCP Server tool call.

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

CHECK YOUR STACK →

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805 AWS Serverless MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.