get_note
AI agents call get_note to retrieve information from NotesKeep MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool name 'get_note' and its position among sibling tools (list_notes, list_labels, get_note_labels) strongly suggests this retrieves or queries note data. Although the description is empty, the naming convention and context indicate a read-only retrieval operation with no capability to modify, delete, or execute code.
From the tool's definition Tool name 'get_note' indicates retrieval operation. Server description confirms it manages notes with operations including creating, updating, organizing, and deleting notes.
Attacks that exploit this kind of access
get_note. It is categorised as a Read tool in the NotesKeep MCP Server MCP Server, which means it retrieves data without modifying state.
Register the NotesKeep MCP Server MCP server in PolicyLayer and add a rule for get_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 NotesKeep MCP Server. Nothing to install.
get_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 get_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 get_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.
get_note is provided by the NotesKeep MCP Server MCP server (mariomosca/noteskeep-mcp). 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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