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Get Podcast

get_podcast
Read-onlyIdempotent

Get full metadata for a single podcast by its Podcast Index feed ID. Returns title, author, description, owner, episode count, categories, language, and artwork. Example: get_podcast({ feed_id: 920666 })

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
_apiKeyNoOptional — your own Podcast Index credentials as KEY:SECRET for higher limits; omit to use the shared Pipeworx key.
feed_idYesPodcast Index feed ID (from search_podcasts or trending podcasts results)

TDQS

A4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint true and destructiveHint false, so the core behavioral traits are covered. The description adds value by listing the types of metadata returned and providing an example, but does not disclose additional behaviors like rate limits or authentication requirements beyond the 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?

The description is a single concise sentence followed by an illustrative example. Every part earns its place with no redundancy or unnecessary information.

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

Completeness4/5

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

Given that there is no output schema, the description compensates by listing the returned fields. For a read-only, idempotent tool with good annotations, the description is reasonably complete. It could mention potential error conditions, but overall it provides sufficient context for correct selection and invocation.

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 coverage is 100% (both parameters described in the input schema). The description mentions the feed_id example and the output fields, but does not add significant new meaning beyond what the schema already provides. The _apiKey parameter's purpose is described similarly in both places.

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 states a specific verb (Get), resource (full metadata for a single podcast), and method (by Podcast Index feed ID). It lists the returned fields, making the purpose immediately clear. It naturally distinguishes from sibling tools like search_podcasts and episodes.

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 clearly states when to use the tool (retrieve metadata for a single podcast given a feed ID) and implies that the feed ID comes from search_podcasts or trending. It does not explicitly discuss when not to use it or provide alternative tools, but the context is sufficient for an AI agent.

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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TDQS

A3.9/5.0
Disambiguation4/5

Most tools have distinct purposes, but ask_pipeworx and ask_pipeworx_grounded overlap (one is grounded), and bet_research/validate_claim/compare_entities/entity_profile all query Pipeworx data with different intents, which could cause confusion.

Naming Consistency4/5

Names are consistently lower_snake_case and mostly follow a verb_noun pattern (e.g., search_podcasts, get_podcast, list_subscriptions). A few compound names like pipeworx_feedback and polymarket_arbitrage deviate slightly but remain readable.

Tool Count2/5

30 tools is excessive for a server named 'Podcastindex'. It aggregates unrelated domains (podcasts, Pipeworx queries, Polymarket, memory, etc.), making it feel like a kitchen sink rather than a focused tool set.

Completeness3/5

For podcasts, the tool set covers search, metadata, episodes, and trending but lacks subscription management. For the broader Pipeworx domain, ask_pipeworx and discover_tools provide wide access, but specific gaps exist (e.g., no direct SEC filing query). Overall, the surface is broad but uneven.