generate_cost_report · Amazon Data Processing MCP Server MCP

WHAT IT DOES

What generate_cost_report does on Amazon Data Processing MCP Server

AI agents call generate_cost_report to retrieve information from Amazon Data Processing 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 generate_cost_report needs a policy

The name suggests generating a cost report, which is typically a read/query operation that retrieves financial data and formats it as a report. However, since the description is empty, there is uncertainty about whether it involves any write, execute, or financial side effects. Based on the name alone, Read is the most likely category, but confidence is low due to the missing description.

From the tool's definition Tool name: 'generate_cost_report' — description is empty and uninformative.

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

POLICY

How to control generate_cost_report

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

policy.json

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

generate_cost_report 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 Amazon Data Processing 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.

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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 generate_cost_report

What does the generate_cost_report tool do? +

generate_cost_report. It is categorised as a Read tool in the Amazon Data Processing MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on generate_cost_report? +

Register the Amazon Data Processing MCP Server MCP server in PolicyLayer and add a rule for generate_cost_report: 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 Amazon Data Processing MCP Server. Nothing to install.

What risk level is generate_cost_report? +

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

Can I rate-limit generate_cost_report? +

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

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

generate_cost_report is provided by the Amazon Data Processing MCP Server MCP server (awslabs.aws-dataprocessing-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 Amazon Data Processing MCP Server tool call.

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

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