Low Risk

analyzeSchema

analyzeSchema

How to control analyzeSchema ↓

What analyzeSchema does on AWS Labs CloudTrail MCP Server

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

Low Risk

Why analyzeSchema needs a policy

Schema analysis typically retrieves and examines metadata without modifying data, fitting the Read category. However, confidence is reduced due to empty description. Severity is medium because schema analysis on CloudTrail logs could expose sensitive infrastructure details to an AI agent, but the impact is informational rather than operational.

From the tool's definition Tool name 'analyzeSchema' suggests introspection/analysis of data structure. CloudTrail context indicates examination of event logs or infrastructure schema. No description provided to confirm specific behavior.

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

How to control analyzeSchema

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

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "analyzeSchema": {}
  }
}

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

  1. Create a free account and register AWS Labs CloudTrail MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
CAP THIS TOOL →

Free to start. No card required.

Related tools and policies

Go deeper

Questions about analyzeSchema

What does the analyzeSchema tool do? +

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

How do I enforce a policy on analyzeSchema? +

Register the AWS Labs CloudTrail MCP Server MCP server in PolicyLayer and add a rule for analyzeSchema: 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 CloudTrail MCP Server. Nothing to install.

What risk level is analyzeSchema? +

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

Can I rate-limit analyzeSchema? +

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

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

analyzeSchema is provided by the AWS Labs CloudTrail MCP Server MCP server (awslabs.cloudtrail-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 CloudTrail MCP Server tool call.

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

Free to start. No card required.

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

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.