Search for podcasts or episodes on YouTube, or parse an RSS feed URL to see available episodes
AI agents call search_podcast to retrieve information from MCP Podcast Scraper without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The search_podcast tool retrieves information about podcasts and episodes without creating, modifying, deleting, or executing any operations. It is a read-only query function that discovers or lists podcast data, making it a straightforward Read category tool with minimal security risk.
From the tool's definition Tool description states it 'Search[es] for podcasts or episodes' and 'parse[s] an RSS feed URL to see available episodes' — purely query and retrieval operations with no modification or side effects.
Attacks that exploit this kind of access
Search for podcasts or episodes on YouTube, or parse an RSS feed URL to see available episodes. It is categorised as a Read tool in the MCP Podcast Scraper MCP Server, which means it retrieves data without modifying state.
Register the MCP Podcast Scraper MCP server in PolicyLayer and add a rule for search_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 MCP Podcast Scraper. Nothing to install.
search_podcast is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the search_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 search_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.
search_podcast is provided by the MCP Podcast Scraper MCP server (walid-koleilat/mcp-podcast-scraper). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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