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make_podcast_thumbnail

Make a YouTube thumbnail for one of the user's Animated Podcasts, featuring THEIR OWN two hosts from the podcast's studio picture. Use this, not generate_image, whenever the thumbnail is for a podcast.

DEFAULT LOOK (layout hosts_sides), the style of the big animated podcast channels: one host on the far left and the other on the far right at the podcast desk with headphones and microphones, reacting to the topic, and a huge bold multi-colour headline stacked in the middle, with an optional ribbon line under it and an optional small badge in the top-left corner (a level like A2 or an episode number). Give this look unless the user asks for something else. If they want a different style, use layout custom and describe it in custom_prompt; the hosts still come from the podcast.

Write the headline yourself from the episode topic if the user has not: 2 to 6 punchy words, the hook rather than the full title. Counts as one image against the monthly image allowance, like generate_image, and saves to the user's library.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
badgeNoOptional small corner label, e.g. 'A2', 'A1-B1', 'EP 12'. Up to 12 characters.
layoutNohosts_sides (default) = hosts left and right, headline in the middle. custom = the user's own idea, described in custom_prompt.
studioNoOr: a saved studio name (list_podcast_studios), for a thumbnail before or without an episode.
taglineNoOptional smaller line on a ribbon under the headline, e.g. 'Everyday Speaking Practice'.
headlineYesThe big text in the middle, exactly as it should appear. 2 to 6 words.
video_idNoThe podcast's job id. Omit for the most recent podcast, unless studio or studio_image_url is given.
custom_promptNoFor layout custom: what the thumbnail should look like, including any text exactly as it should appear.
studio_image_urlNoOr: a studio picture from preview_podcast_studio.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.6/5.0
Behavior4/5

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

With no annotations, the description carries the burden and does disclose non-obvious behavior: it consumes one image from the monthly allowance, saves the result to the user's library, and pulls hosts from the podcast's studio picture rather than from arbitrary characters. It does not cover failure modes (e.g. what happens when no podcast exists or the studio is missing), which keeps it short of a 5.

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?

It is long but front-loaded: purpose and sibling routing come first, then default look, then the custom path, then cost/persistence. The only redundancy is the repeated reminder that 'the hosts still come from the podcast,' which slightly pads the middle paragraph.

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?

There is no output schema, and the description compensates by saying what is produced (a thumbnail), where it goes (the user's library), and what it costs (one image against the monthly allowance). Combined with the full schema coverage and default/custom routing, an agent has everything needed to invoke it correctly.

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

Parameters4/5

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

Schema coverage is 100%, so the baseline is 3, but the description adds real meaning on top: it explains that hosts_sides is the default, that custom requires a custom_prompt describing the look, and gives authoring guidance for headline ('write it yourself from the episode topic, 2 to 6 punchy words, the hook rather than the full title'). The badge and tagline roles are also illustrated with examples.

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 and resource ('Make a YouTube thumbnail for one of the user's Animated Podcasts') and immediately names the sibling it should not be confused with ('Use this, not generate_image, whenever the thumbnail is for a podcast'). An agent can distinguish it from generate_image and preview_single_image without opening any schema.

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

Usage Guidelines5/5

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

It gives an explicit when-to-use rule with an alternative ('use this, not generate_image, whenever the thumbnail is for a podcast'), then states the default behavior ('Give this look unless the user asks for something else') and the escape hatch (layout custom plus custom_prompt). Both the selection and the fallback are spelled out.

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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