Get details of a specific note
AI agents call get_note to retrieve information from MCP TriliumNext without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves information about a note without modifying, deleting, or executing any operations. It is purely a query/read operation on existing data in the TriliumNext knowledge base. The low severity reflects minimal blast radius—unauthorized read access to notes poses confidentiality risks but no data modification or execution risks.
From the tool's definition Tool name 'get_note' and description 'Get details of a specific note' indicate a retrieval operation with no side effects.
Attacks that exploit this kind of access
Get details of a specific note. It is categorised as a Read tool in the MCP TriliumNext MCP Server, which means it retrieves data without modifying state.
Register the MCP TriliumNext 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 MCP TriliumNext. 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 MCP TriliumNext MCP server (radonx/mcp-trilium). 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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