Edit an existing note. Pass
AI agents use edit_note to create or update resources in Neuro Vault — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Neuro Vault environment.
This tool creates or modifies data reversibly by editing notes. Users can undo or revert changes, making it a Write operation rather than Destructive. The severity is medium because editing vault notes could impact knowledge management, but the changes are not permanent/irreversible. Confidence is high given the explicit description of modifying note content.
From the tool's definition Tool name 'edit_note' and description 'Edit an existing note' indicate modification of existing data in the Obsidian vault.
Attacks that exploit this kind of access
Edit an existing note. Pass. It is categorised as a Write tool in the Neuro Vault MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Neuro Vault MCP server in PolicyLayer and add a rule for edit_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 Neuro Vault. Nothing to install.
edit_note is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the edit_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 edit_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.
edit_note is provided by the Neuro Vault MCP server (neuro-vault-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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