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

With no annotations provided, the description carries the full burden and does well: it discloses the 2-credit cost, free 24h caching behavior, default fresh fetch, no-cursor fixed-window design, and that empty results/failures are not charged. It doesn't describe rate limits or the exact failure mode, but the most material behaviors are transparent.

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

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

The description is compact, front-loaded with the core purpose, and every sentence adds distinct value: scope, pagination model, pricing, failure billing, and caching. No filler or repetition.

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

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

Operational context is strong—pricing, cache, failures, and pagination are covered—but with no output schema, the description does not explain what the returned recommendation items look like (e.g., video IDs, titles, URLs). That is a meaningful gap for an agent deciding whether the result satisfies a request.

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

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

Schema description coverage is 100%, so the baseline is 3. The description mostly restates information already in the schema (cache behavior, no cursor, cost). It adds a little color around 'topic seed' but does not materially improve on the schema's own parameter documentation.

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

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

The description identifies the resource as "YouTube Shorts recommendation sequence" and clarifies a key distinction: it is not a global chart and not a keyword search. This is specific enough to separate it from siblings like youtube_channel_shorts or youtube_search, though it lacks an explicit verb like 'returns' or 'fetches'.

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

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

The description gives useful context for when to use the tool: it serves a fixed recommendation window, not a global chart, and the q parameter is a topic seed, not a keyword search. It doesn't name alternative sibling tools explicitly, but the exclusions are clear enough to guide an agent toward appropriate usage.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.