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podcast_youtube_details

YouTube title, description (with chapters timed to the real audio) and tags for a finished Animated Podcast, the same ones the site shows under the podcast. Made once per version of the script and then reused; refresh writes new ones. Costs nothing.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
refreshNotrue writes fresh details instead of returning the saved ones.
video_idNoThe podcast's job id. Omit for the most recent podcast.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It usefully discloses that details are generated once per script version, cached and reused, and that refresh overwrites them, plus that the call is free. It omits auth requirements, whether the cached values can go stale, and any failure modes, leaving meaningful gaps for a generation tool.

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

Conciseness4/5

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

Two tight sentences that front-load the output content before the caching/cost note. No filler, though the parenthetical about chapters is the only structural elaboration and the phrasing is slightly elliptical.

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

Completeness3/5

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

There is no output schema, so the description appropriately names the returned fields (title, description with chapters, tags). It covers the caching model but says nothing about response structure details or edge cases like a missing/incomplete podcast, leaving it adequate rather than complete.

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 description coverage is 100%, so both parameters are already documented in the schema. The description's 'refresh writes new ones' and cached-value framing adds minor reinforcing context but no syntax or default detail beyond what the schema provides. This is the expected baseline when the schema does the heavy lifting.

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 identifies the specific resource (YouTube title, description with audio-timed chapters, and tags for a finished Animated Podcast) and notes it mirrors what the site displays. The verb is implicit rather than stated, but an agent can tell what the tool returns without opening the schema. It does not differentiate itself from siblings like get_podcast or edit_podcast.

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 line 'Made once per version of the script and then reused; refresh writes new ones' implies the caching/regeneration model and hints at when a caller might want refresh=true. However, there is no explicit when-to-use guidance or named alternative among siblings such as get_podcast. Usage is inferable but not stated.

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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