AnalyzeAHORunPerformance

THE RISK

Low Risk

Why AnalyzeAHORunPerformance needs a policy

With no description available, classification is uncertain. The tool name suggests performance analysis (a read-like operation), but given the server manages AWS resources via Cloud Control API, it could have side effects. Confidence is low due to empty description. Defaulting to Other with low severity given the analytical naming pattern.

From the tool's definition Tool description is empty and uninformative; name 'AnalyzeAHORunPerformance' suggests a read/analysis operation based on naming convention.

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 Cloud Control API (CCAPI) 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 Cloud Control API (CCAPI) 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 →
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FAQ

Questions about AnalyzeAHORunPerformance

What does the AnalyzeAHORunPerformance tool do? +

AnalyzeAHORunPerformance. It is categorised as a Other tool in the AWS Cloud Control API (CCAPI) MCP Server MCP Server, which means it performs auxiliary operations.

How do I enforce a policy on AnalyzeAHORunPerformance? +

Register the AWS Cloud Control API (CCAPI) 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 Cloud Control API (CCAPI) 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 Cloud Control API (CCAPI) MCP Server MCP server (awslabs.ccapi-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 Cloud Control API (CCAPI) MCP Server tool call.

Start from AWS Cloud Control API (CCAPI) 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 →