play_podcast_episode
Play a specific podcast episode by name, optionally from a specific show.
This record as markdown: /tools/heznpc-airmcp/play-podcast-episode.md
What play_podcast_episode does on AirMCP
AI agents invoke play_podcast_episode to trigger actions in AirMCP. 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_podcast_episode is rated High
This tool triggers an external media playback operation on the device — it executes an action (playing audio) rather than simply reading or writing data. Misuse could disrupt the user's current audio session or cause unwanted playback, but the blast radius is limited.
From the tool's definition Play a specific podcast episode by name, optionally from a specific show.
Attacks that exploit this kind of access
The rule that runs play_podcast_episode 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 play_podcast_episode, this is the rule to start with:
play_podcast_episode 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 AirMCP, apply this rule, and every play_podcast_episode call is checked against it from then on.
Questions about play_podcast_episode
Play a specific podcast episode by name, optionally from a specific show. It is categorised as a Execute tool in the AirMCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Air MCP server in PolicyLayer and add a rule for play_podcast_episode: 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.
play_podcast_episode 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_podcast_episode 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_podcast_episode. 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_podcast_episode 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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