This record as markdown: /tools/aws/search-documentation.md
What search_documentation does on AWS
AI agents call search_documentation 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 search_documentation is rated Low
Based on the tool name alone, searching documentation is a retrieval operation with no side effects. The empty description reduces confidence slightly, but the name strongly suggests a Read category action. No sibling tools provide additional context about this specific tool's actual implementation.
From the tool's definition Tool named 'search_documentation' with no description provided. The name indicates a read-only operation that queries/searches documentation content.
Attacks that exploit this kind of access
The rule that runs search_documentation 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 search_documentation, this is the rule to start with:
search_documentation 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 search_documentation call is checked against it from then on.
Questions about search_documentation
search_documentation 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 search_documentation: 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.
search_documentation 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 search_documentation 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 search_documentation. 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.
search_documentation 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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