This record as markdown: /tools/aws/read-document.md
What read_document does on AWS
AI agents call read_document 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 read_document is rated Low
The tool name contains 'read', which typically indicates retrieval without side effects. Without a description, confidence is moderately reduced, but the semantic meaning of 'read_document' aligns with the Read category. In context of AWS and sibling tools involving policy attachment, service auditing, and user management, this tool likely retrieves document contents or metadata without modification.
From the tool's definition Tool name 'read_document' indicates data retrieval with no modification. Description is empty, but the name strongly suggests a read-only operation.
Attacks that exploit this kind of access
The rule that runs read_document 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 read_document, this is the rule to start with:
read_document 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 read_document call is checked against it from then on.
Questions about read_document
read_document 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 read_document: 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.
read_document 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 read_document 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 read_document. 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.
read_document 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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