Get a single note with full content (Tiptap JSON or plain text).
AI agents call get_note to retrieve information from Rhizm MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries note data without creating, modifying, deleting, or executing any operations. It is a straightforward read operation with minimal security impact. Low severity due to the benign nature of reading note content.
From the tool's definition Tool name 'get_note' and description 'Get a single note with full content' indicates retrieval of existing data with no side effects.
Attacks that exploit this kind of access
Get a single note with full content (Tiptap JSON or plain text). It is categorised as a Read tool in the Rhizm MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Rhizm 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 Rhizm 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 Rhizm MCP Server MCP server (rhizmapp/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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