Read the complete contents of a note file from your notes directory.
AI agents call read_note to retrieve information from MCP Notes without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves data from a note file without modifying, deleting, or executing anything. It is a straightforward query operation on stored knowledge. The low severity reflects minimal risk—unauthorized read access to personal notes is a privacy concern but has no capability to alter data or trigger external operations.
From the tool's definition Tool name is 'read_note' and description states it will 'Read the complete contents of a note file from your notes directory.' This is clearly a read operation with no side effects.
Documented attack patterns abuse exactly the kind of access read_note gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCP Notes, and nothing reaches the server without passing your rules. This is the rule we recommend for read_note:
{
"version": "1",
"default": "deny",
"tools": {
"read_note": {}
}
} read_note is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Read the complete contents of a note file from your notes directory. It is categorised as a Read tool in the MCP Notes MCP Server, which means it retrieves data without modifying state.
Register the MCP Notes 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 MCP Notes. 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 MCP Notes MCP server (markacianfrani/mcp-notes). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MCP Notes, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
9 MCP Notes tools catalogued and risk-classified — across an index of 43,000+ MCP servers.