Create a podcast episode with full generation (text + audio). Supports single-speaker (solo) or dual-speaker (dialogue) formats with 1-2 speakers (can use speaker names or IDs). Choose from 3 generation modes: quick (3-5 min podcast), deep (8-15 min podcast), or debate (5-10 min podcast). Accepts...
AI agents invoke create_podcast to trigger actions in ListenHub MCP Server. 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.
This tool triggers a multi-step external generation pipeline (text synthesis + audio creation) that runs autonomously until completion. It initiates a long-running external operation with real-world side effects (audio content creation, resource consumption), placing it firmly in Execute.
From the tool's definition 'Create a podcast episode with full generation (text + audio)' and 'This tool will automatically poll until generation is complete (may take several minutes)'
Documented attack patterns abuse exactly the kind of access create_podcast gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and ListenHub MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for create_podcast:
{
"version": "1",
"default": "deny",
"tools": {
"create_podcast": {
"limits": [
{
"counter": "create_podcast_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}create_podcast 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.
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Create a podcast episode with full generation (text + audio). Supports single-speaker (solo) or dual-speaker (dialogue) formats with 1-2 speakers (can use speaker names or IDs). Choose from 3 generation modes: quick (3-5 min podcast), deep (8-15 min podcast), or debate (5-10 min podcast). Accepts text or URL sources. This tool will automatically poll until generation is complete (may take several minutes). It is categorised as a Execute tool in the ListenHub MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the ListenHub MCP Server MCP server in PolicyLayer and add a rule for create_podcast: 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 ListenHub MCP Server. Nothing to install.
create_podcast 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 create_podcast 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 create_podcast. 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.
create_podcast is provided by the ListenHub MCP Server MCP server (marswaveai/listenhub-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from ListenHub MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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8 ListenHub MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.