update_note

Replace the entire body of an existing note. WARNING: This overwrites all content. Read the note first if you need to preserve parts of it. Attachments may be lost.

SERVERAirMCP SOURCEairmcp

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/heznpc-airmcp/update-note.md

WHAT IT DOES

What update_note does on AirMCP

AI agents use update_note to create or update resources in AirMCP, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your AirMCP environment.

RISK

Why update_note is rated Medium

While the tool has destructive potential (overwriting note content and potentially losing attachments), the operation is reversible on Apple's ecosystem (Notes typically maintains version history and iCloud backups). This qualifies as Write rather than Destructive.

From the tool's definition Tool description explicitly states 'Replace the entire body of an existing note' and warns 'This overwrites all content.' The tool modifies existing data (the note's body) reversibly — notes can be restored from version history or backups in typical…

Risk signalsBulk/mass operation — affects multiple targets

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs update_note safely

PolicyLayer is an MCP gateway: it sits between your AI agents and AirMCP, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For update_note, this is the rule to start with:

update_note Rate-limited

update_note stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "update_note": {
      "limits": [
        {
          "counter": "update_note_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect AirMCP, apply this rule, and every update_note call is checked against it from then on.

FAQ

Questions about update_note

What does the update_note tool do? +

Replace the entire body of an existing note. WARNING: This overwrites all content. Read the note first if you need to preserve parts of it. Attachments may be lost. It is categorised as a Write tool in the AirMCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on update_note? +

Register the Air MCP server in PolicyLayer and add a rule for update_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 AirMCP. Nothing to install.

What risk level is update_note? +

update_note is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit update_note? +

Yes. Add a rate_limit block to the update_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.

How do I block update_note completely? +

Set action: deny in the PolicyLayer policy for update_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.

What MCP server provides update_note? +

update_note is provided by the Air MCP server (airmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

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aroflo_create_or_update_record on AroFlo MCP →team_manager_update_budget on Team Manager MCP → The MCP Attack Database →

Guides

Govern customer-ops agents →Argument validation →Scoped token →