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Search podcasts

search_podcasts

Search podcast episodes by text query or URL to find matching episodes with id, title, podcast, and date.

Instructions

Search published podcast episodes by text query, or paste an episode URL (Spotify, YouTube, etc.). Returns matching episodes with their id, title, podcast, and date. Use the id with get_transcript. Does not consume credits.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesFree text (e.g. 'huberman sleep') or a pasted episode URL.
Behavior3/5

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

No annotations are provided, so the description carries full burden. It states it returns specific fields and does not consume credits, which implies read-only behavior. However, it omits details on pagination, result limits, or error conditions.

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 three sentences, front-loaded with the main action, and every sentence serves a purpose with no wasted words.

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 one parameter, no output schema, and no annotations, the description covers input format, return fields, and linkage to get_transcript. It lacks details on result limits or pagination, but is mostly complete for a simple search tool.

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% and the schema description already explains the query parameter. The tool description repeats the same information without adding new meaning beyond the schema, so baseline 3 applies.

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 searches published podcast episodes by text or URL. It distinguishes from siblings: get_balance is unrelated, get_transcript is a follow-up using the returned id.

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 specifies when to use the tool: to search episodes. It mentions the follow-up tool get_transcript, but lacks explicit guidance on when not to use it or alternatives, though siblings are few and 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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