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Trending Podcasts

media.podcast.trending
Read-onlyIdempotent

Retrieve trending podcasts sorted by recent episode engagement. Filter by language, category, or only podcasts with new episodes since a specified time. Returns title, author, artwork, trending score, and episode count.

Instructions

Currently trending podcasts globally — ranked by recent episode engagement. Filter by language and category. Returns title, author, artwork, trending score, episode count (PodcastIndex)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
maxNoNumber of trending podcasts (default 20, max 100)
langNoFilter by language code (e.g. "en")
catNoFilter by category (e.g. "Technology", "News")
sinceNoUnix timestamp — only include podcasts with new episodes since this time

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultNoTool response payload. Shape varies per tool — consult the tool description and inputSchema. May be an object, array, string, or number depending on the upstream provider response.
errorNoPresent only when the call failed. Includes error code, message, request_id, and any provider-specific extras.
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already indicate safety (read-only, idempotent). Description adds that it returns trending score and episode count from PodcastIndex, going beyond the minimal schema.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

One concise sentence with all key info: what, ranking criteria, filters, return fields. No redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given annotations, schema, and output schema (implied), the description provides all necessary context for a simple list tool. No missing information.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema covers all parameters with descriptions. Description echoes 'Filter by language and category' but doesn't add significant new meaning. Baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it returns trending podcasts globally, ranked by engagement, with filter options. It distinguishes from sibling tools like media.podcast.search or details.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explains when to use (trending podcasts) and what filters are available, but doesn't explicitly mention when not to use or provide alternative tool names. However, the context is clear.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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