play_track
Play a specific track by name, optionally from a specific playlist.
This record as markdown: /tools/io-github-heznpc-iconnect/play-track.md
What play_track does on Iconnect
AI agents invoke play_track to trigger actions in Iconnect. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why play_track is rated High
Playing a track is an external operation that controls media playback on the system. It doesn't read/write data persistently, isn't destructive or financial, but it executes an action (start playback) on an external application/device. Severity is low as misuse has minimal blast radius.
From the tool's definition 'Play a specific track by name' — triggers playback on the device, an external operation with real-world effect
Attacks that exploit this kind of access
The rule that runs play_track safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Iconnect, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For play_track, this is the rule to start with:
play_track stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Iconnect, apply this rule, and every play_track call is checked against it from then on.
Questions about play_track
Play a specific track by name, optionally from a specific playlist. It is categorised as a Execute tool in the Iconnect MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Iconnect MCP server in PolicyLayer and add a rule for play_track: 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 Iconnect. Nothing to install.
play_track is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the play_track 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 play_track. 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.
play_track is provided by the Iconnect MCP server (iconnect-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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