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podcast_people

Retrieve hosts and guests of a podcast, including names, affiliations, contact details, and social media profiles from transcript analysis.

Instructions

Returns hosts and guests of a podcast with names, descriptions, affiliations, contact emails, contact pages, and social media profiles. Data is extracted from transcripts and may have occasional inaccuracies.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
podcast_idYesThe Rephonic podcast ID.
Behavior2/5

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

With no annotations, the description bears full responsibility for behavioral disclosure. It notes occasional inaccuracies, but lacks details on pagination, authentication, rate limits, or error handling for invalid podcast_id.

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 two sentences, front-loaded with the core purpose, and includes a relevant caveat. Every word earns its place without redundancy.

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 the simplicity (one required param, no output schema, no annotations), the description adequately covers the return fields and data quality. It is complete enough for an agent to understand the tool's output.

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?

The only parameter 'podcast_id' is fully described in the schema (100% coverage). The description adds no additional meaning beyond what the schema provides, earning a baseline score of 3.

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

Purpose4/5

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

The description clearly states that the tool returns hosts and guests with specific fields (names, descriptions, affiliations, etc.). It distinguishes the tool from siblings like 'list_sponsors' and 'contacts' by focusing on podcast people, though it does not explicitly differentiate.

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

Usage Guidelines3/5

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

The description implies usage when needing people info for a podcast, but provides no guidance on when to use this tool versus alternatives like 'contacts' or 'reviews'. No exclusions or prerequisites are mentioned.

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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