This record as markdown: /tools/heznpc-airmcp/set-favorited.md
What set_favorited does on AirMCP
AI agents use set_favorited 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.
Why set_favorited is rated Medium
This tool creates or modifies data (favorite status) in a reversible manner. It does not execute arbitrary code, delete data irreversibly, or affect financial systems. The blast radius is minimal: worst case, an AI agent marks many tracks as favorited or removes favorited status, which the user can easily undo. Classified as Write rather than Read because it mutates state.
From the tool's definition Tool description states "Mark or unmark a track as favorited (loved)" — this modifies metadata associated with a music track in Apple Music, creating or reversing a user preference flag.
Attacks that exploit this kind of access
The rule that runs set_favorited 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 set_favorited, this is the rule to start with:
set_favorited 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.
The button opens the PolicyLayer dashboard: create your workspace, connect AirMCP, apply this rule, and every set_favorited call is checked against it from then on.
Questions about set_favorited
Mark or unmark a track as favorited (loved). 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.
Register the Air MCP server in PolicyLayer and add a rule for set_favorited: 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.
set_favorited 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 set_favorited 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 set_favorited. 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.
set_favorited 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.
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