AnalyzeAHORunPerformance

THE RISK

Low Risk

Why AnalyzeAHORunPerformance needs a policy

With no description available, classification is uncertain. The name suggests a performance analysis or read operation (likely querying metrics or logs), but without confirmation the confidence is low. Defaulting to Other with low severity given the probable read-only nature implied by 'Analyze'.

From the tool's definition Tool description is empty and uninformative; tool name 'AnalyzeAHORunPerformance' suggests analysis/read activity but cannot be confirmed.

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

POLICY

How to control AnalyzeAHORunPerformance

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

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "AnalyzeAHORunPerformance": {
      "limits": [
        {
          "counter": "analyzeahorunperformance_rate",
          "window": "minute",
          "max": 60,
          "scope": "grant"
        }
      ]
    }
  }
}

AnalyzeAHORunPerformance gets a rate cap, and everything else on the server is denied unless you say otherwise.

Create a free account and register AWS Labs amazon-keyspaces 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.

SET A RULE FOR THIS TOOL →

Free to start. No card required.

EXPLORE

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Tool risk categories → How PolicyLayer classifies MCP tools by what they can do.
MCP tool → What an MCP tool is and how clients discover and call it.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about AnalyzeAHORunPerformance

What does the AnalyzeAHORunPerformance tool do? +

AnalyzeAHORunPerformance. It is categorised as a Other tool in the AWS Labs amazon-keyspaces MCP Server MCP Server, which means it performs auxiliary operations.

How do I enforce a policy on AnalyzeAHORunPerformance? +

Register the AWS Labs amazon-keyspaces MCP Server MCP server in PolicyLayer and add a rule for AnalyzeAHORunPerformance: 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 Labs amazon-keyspaces MCP Server. Nothing to install.

What risk level is AnalyzeAHORunPerformance? +

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

Can I rate-limit AnalyzeAHORunPerformance? +

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

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

AnalyzeAHORunPerformance is provided by the AWS Labs amazon-keyspaces MCP Server MCP server (awslabs.amazon-keyspaces-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 Labs amazon-keyspaces MCP Server tool call.

Start from AWS Labs amazon-keyspaces 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 →