AI agents call cost-explorer 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.
Cost Explorer is a query/reporting tool that retrieves financial data without modification, deletion, or execution capabilities. It does not move money, execute commands, or alter data—it only provides visibility into existing costs. Even though it accesses financial information, it performs no financial operations. The empty description lowers confidence but the tool name strongly indicates a Read classification.
From the tool's definition Tool name 'cost-explorer' suggests querying AWS cost and usage data. The description is empty, limiting confidence. However, AWS Cost Explorer is fundamentally a read-only service for analyzing historical billing and cost data.
Documented attack patterns abuse exactly the kind of access cost-explorer gives an agent:
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 cost-explorer:
{
"version": "1",
"default": "deny",
"tools": {
"cost-explorer": {}
}
}cost-explorer is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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cost-explorer. It is categorised as a Read tool in the Amazon Data Processing MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Amazon Data Processing MCP Server MCP server in PolicyLayer and add a rule for cost-explorer: 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.
cost-explorer is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the cost-explorer 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.
Set action: deny in the PolicyLayer policy for cost-explorer. 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.
cost-explorer 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.
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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805 Amazon Data Processing MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.