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

No annotations are provided, so the description carries the full behavioral burden. 'Public' hints that no private/auth-scoped data is returned and 'Retrieve' implies read-only, which is worth some credit, but rate limits, pagination ceilings (limit max 1000, offset max 10000), and the effect of response_mode are never disclosed.

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?

A single front-loaded sentence with no filler or redundancy. It is efficient, though for a tool with this much nested complexity the brevity edges toward under-specification rather than optimal conciseness.

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?

An output schema exists, so return values need not be explained, but this is a multi-operation tool with nested filter and ordering objects whose semantics, pagination behavior, and per-operation input requirements are entirely absent. An agent cannot reliably choose an operation or construct a filters/order_by payload from this description.

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?

Top-level schema description coverage is 0%, and the description explains none of the substantive parameters: filters (a complex anyOf/operator structure), order_by, limit/offset, response_mode, and video_id are undocumented in both the description and, largely, the schema. Only keyword/language/location carry inline descriptions, so the description fails to compensate for the coverage gap.

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?

States a specific verb ('Retrieve') and resource ('public video') and enumerates the four data types covered (search, details, subtitles, comments), which maps directly to the operation enum. It does not differentiate itself from siblings like media-analysis or the social-* search tools, so it stops short of a 5.

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?

No guidance on when to choose this tool over siblings, nor which of the four operations to select for a given intent. The operation enum label ('Which dataset operation to run') gives no selection criteria, so the agent must infer everything.

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