Search the official Excalidraw library catalog (libraries.excalidraw.com/libraries.json). Use this to discover .excalidrawlib bundles by keyword before calling library_install. Returns metadata (name, description, authors, absolute download URL, preview URL) for matching libraries.
AI agents call library_catalog_list to retrieve information from Whiteboard without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This is a read-only search/discovery operation against a public library catalog. It retrieves metadata to inform subsequent decisions (like library_install) but makes no modifications to data, executes no code, and causes no side effects. The low severity reflects that misuse would at worst return unwanted library metadata, with no destructive or operational consequences.
From the tool's definition Tool description explicitly states it 'search[es] the official Excalidraw library catalog' and 'returns metadata'. The verb 'search' and 'discover' indicate query-only operations. No create, modify, delete, or execute actions are performed.
Attacks that exploit this kind of access
Search the official Excalidraw library catalog (libraries.excalidraw.com/libraries.json). Use this to discover .excalidrawlib bundles by keyword before calling library_install. Returns metadata (name, description, authors, absolute download URL, preview URL) for matching libraries. It is categorised as a Read tool in the Whiteboard MCP Server, which means it retrieves data without modifying state.
Register the Whiteboard MCP server in PolicyLayer and add a rule for library_catalog_list: 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 Whiteboard. Nothing to install.
library_catalog_list 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 library_catalog_list 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 library_catalog_list. 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.
library_catalog_list is provided by the Whiteboard MCP server (kamiazya/whiteboard). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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