This record as markdown: /tools/aws/explain.md
What explain does on AWS
AI agents call explain as a supporting operation in AWS workflows.
Why explain is rated Low
The tool name 'explain' alone suggests a read-like or informational operation (e.g., explaining a query plan or concept), but without a description, it's impossible to confirm. Given sibling tools related to AWS operations (batch translation, canary analysis, auditing), 'explain' most likely retrieves or describes something. However, confidence is very low due to the lack of description.
From the tool's definition Tool name is 'explain' and description is empty or uninformative.
Attacks that exploit this kind of access
The rule that runs explain 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 explain, this is the rule to start with:
explain gets a rate cap, and 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 explain call is checked against it from then on.
Questions about explain
explain is a other tool on the AWS MCP server. It is categorised as a Other tool in the AWS MCP Server, which means it performs auxiliary operations.
Register the AWS MCP server in PolicyLayer and add a rule for explain: 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.
explain is a Other tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the explain 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 explain. 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.
explain 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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