This record as markdown: /tools/aws/list-resources.md
What list_resources does on AWS
AI agents call list_resources to retrieve information from AWS without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why list_resources is rated Low
The 'list_resources' tool has no side effects—it retrieves and lists AWS resources. While empty description lowers confidence slightly, the name and AWS context strongly indicate a read-only enumeration operation. Blast radius is low since listing resources does not modify, delete, or execute operations.
From the tool's definition Tool name 'list_resources' with AWS context indicates a query/retrieval operation. No description provided, but naming convention and sibling tools (audit_*, analyze_*) suggest information retrieval without modification.
Attacks that exploit this kind of access
The rule that runs list_resources safely
PolicyLayer is an MCP gateway: it sits between your AI agents and AWS, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For list_resources, this is the rule to start with:
list_resources is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect AWS, apply this rule, and every list_resources call is checked against it from then on.
Questions about list_resources
list_resources is a read tool on the AWS MCP server. It is categorised as a Read tool in the AWS MCP Server, which means it retrieves data without modifying state.
Register the AWS MCP server in PolicyLayer and add a rule for list_resources: 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. Nothing to install.
list_resources 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 list_resources 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 list_resources. 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.
list_resources is provided by the AWS MCP server (@awslabs/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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