analyzeSchema

THE RISK

Low Risk

Why analyzeSchema needs a policy

With no description, we can only infer from the name. 'analyzeSchema' suggests reading/analyzing a data schema, which would be a Read operation. However, given the empty description, confidence is very low. It likely reads schema metadata without side effects, so Read with low severity would be appropriate, but due to the empty description we categorize as Other with low confidence.

From the tool's definition Tool description is empty and uninformative; only the name 'analyzeSchema' is available.

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

POLICY

How to control analyzeSchema

PolicyLayer is an MCP gateway — it sits between your AI agents and AWS Lambda Tool 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": {
      "limits": [
        {
          "counter": "analyzeschema_rate",
          "window": "minute",
          "max": 60,
          "scope": "grant"
        }
      ]
    }
  }
}

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

Create a free account and register AWS Lambda Tool 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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All 805 AWS Lambda Tool MCP Server tools →

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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 analyzeSchema

What does the analyzeSchema tool do? +

analyzeSchema. It is categorised as a Other tool in the AWS Lambda Tool MCP Server MCP Server, which means it performs auxiliary operations.

How do I enforce a policy on analyzeSchema? +

Register the AWS Lambda Tool 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 Lambda Tool MCP Server. Nothing to install.

What risk level is analyzeSchema? +

analyzeSchema is a Other 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 Lambda Tool MCP Server MCP server (awslabs.lambda-tool-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 Lambda Tool MCP Server tool call.

Start from AWS Lambda Tool 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 →