recommend
Get content recommendations for an AWS documentation page. ## Usage This tool provides recommendations for related AWS documentation pages based on a given URL. Use it to discover additional relevant content that might not appear in search results. ## Recommendation Types The recommendations incl...
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What recommend does on AWS
AI agents call recommend 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 recommend is rated Low
This tool retrieves and queries documentation recommendations without side effects. It is a read-only operation that searches for and returns related content from AWS documentation. No data is created, modified, deleted, or executed.
From the tool's definition Tool name 'recommend' with description stating it 'provides recommendations for related AWS documentation pages based on a given URL' and 'discover additional relevant content'. No modification, deletion, execution, or financial operations described.
Attacks that exploit this kind of access
The rule that runs recommend 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 recommend, this is the rule to start with:
recommend 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 recommend call is checked against it from then on.
Questions about recommend
Get content recommendations for an AWS documentation page. ## Usage This tool provides recommendations for related AWS documentation pages based on a given URL. Use it to discover additional relevant content that might not appear in search results. ## Recommendation Types The recommendations include four categories: 1. Highly Rated: Popular pages within the same AWS service 2. New: Recently added pages within the same AWS service - useful for finding newly released features 3. Similar: Pages covering similar topics to the current page 4. Journey: Pages commonly viewed next by other users ## When to Use - After reading a documentation page to find related content - When exploring a new AWS service to discover important pages - To find alternative explanations of complex concepts - To discover the most popular pages for a service - To find newly released information by using a service's welcome page URL and checking the New recommendations ## Finding New Features To find newly released information about a service: 1. Find any page belong to that service, typically you can try the welcome page 2. Call this tool with that URL 3. Look specifically at the New recommendation type in the results ## Result Interpretation Each recommendation includes: - url: The documentation page URL - title: The page title - context: A brief description (if available) Args: ctx: MCP context for logging and error handling url: URL of the AWS documentation page to get recommendations for Returns: List of recommended pages with URLs, titles, and context. 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 recommend: 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.
recommend 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 recommend 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 recommend. 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.
recommend 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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