get_rag_explorer
Return the Research RAG Explorer UI as a self-contained HTML document, ready to render as a Cowork artifact —
This record as markdown: /tools/ai-featureboard-featureboard/get-rag-explorer.md
What get_rag_explorer does on FeatureBoard
AI agents call get_rag_explorer to retrieve information from FeatureBoard without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why get_rag_explorer is rated Low
The tool's primary function is to retrieve and serve a static HTML document for the Research RAG Explorer UI. This is a read-only operation with no side effects, data modification, code execution, or destructive actions. The 'get_' prefix and 'return' language confirm it is a data retrieval function. The resulting HTML artifact is displayable UI content, not executable code.
From the tool's definition Tool name 'get_rag_explorer' and description 'Return the Research RAG Explorer UI as a self-contained HTML document' indicate a retrieval operation that fetches and returns UI content without modifying data.
Attacks that exploit this kind of access
The rule that runs get_rag_explorer safely
PolicyLayer is an MCP gateway: it sits between your AI agents and FeatureBoard, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For get_rag_explorer, this is the rule to start with:
get_rag_explorer 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 FeatureBoard, apply this rule, and every get_rag_explorer call is checked against it from then on.
Questions about get_rag_explorer
Return the Research RAG Explorer UI as a self-contained HTML document, ready to render as a Cowork artifact —. It is categorised as a Read tool in the FeatureBoard MCP Server, which means it retrieves data without modifying state.
Register the FeatureBoard MCP server in PolicyLayer and add a rule for get_rag_explorer: 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 FeatureBoard. Nothing to install.
get_rag_explorer 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_rag_explorer 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_rag_explorer. 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_rag_explorer is provided by the FeatureBoard MCP server (https://github.com/valentil/featureboard-mcp/releases/download/v0.7/featureboard.plugin). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on FeatureBoard, and thousands of servers like it.
This server
Across the catalogue