This record as markdown: /tools/aws/get-resource.md
What get_resource does on AWS
AI agents call get_resource 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 get_resource is rated Low
The name 'get_resource' indicates a query/retrieval action typical of Read category. However, the empty description and lack of parameter details create uncertainty about what 'resource' means in an AWS context—it could theoretically access sensitive data like credentials, keys, or configurations.
From the tool's definition Tool name 'get_resource' strongly suggests a retrieval operation with no side effects. Description is empty, limiting confidence.
Attacks that exploit this kind of access
The rule that runs get_resource 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 get_resource, this is the rule to start with:
get_resource 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 get_resource call is checked against it from then on.
Questions about get_resource
get_resource 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 get_resource: 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.
get_resource 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 get_resource 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 get_resource. 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.
get_resource 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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