AI agents call read_note to retrieve information from MCPHub without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries or retrieves note data from a file without modifying, deleting, or executing anything. It is a straightforward read operation that retrieves existing data, matching the Read category definition. The low severity reflects minimal blast radius—misuse would only expose data the agent is authorized to access.
From the tool's definition Tool name 'read_note' and description '读取指定文件本中的笔记' (read notes from specified file/notebook) indicate a retrieval operation with no side effects.
Attacks that exploit this kind of access
读取指定文件本中的笔记。. It is categorised as a Read tool in the MCPHub MCP Server, which means it retrieves data without modifying state.
Register the MCPHub MCP server in PolicyLayer and add a rule for read_note: 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 MCPHub. Nothing to install.
read_note 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_note 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_note. 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_note is provided by the MCPHub MCP server (jayden-dong/mcphub). 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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