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

Annotations already cover read-only and open-world safety, and the description adds real behavior on top: language fallback when the requested track is absent, the fact that most tracks are auto-generated, and a 1-credit cost. It does not say what happens when a video has no captions at all, which is the notable remaining gap.

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?

Four short sentences, front-loaded with what is returned, then fallback semantics, then provenance and cost. The opening 'Video transcript.' fragment is mildly redundant with the second sentence, but nothing else is wasted.

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?

With no output schema, the description usefully characterizes the return value (text block plus timed cues), the language resolution rule, and the credit cost. The only material omission is the undocumented cache_max_age parameter and the no-captions-available case.

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 coverage is 67%, so the baseline is 3. The description does add genuine meaning for the language parameter by explaining the fallback to the first track, but cache_max_age is undocumented in both schema and description and goes unaddressed.

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 names the specific resource (a Dailymotion video's captions) and states the return shape (one text block plus timed cues), which is more than the title restated. It distinguishes itself implicitly from dailymotion_video by focusing on captions, though it never names that sibling explicitly.

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?

Usage is implied ('video transcript' for a Dailymotion URL) and the credit cost gives a helpful signal about when it is worth calling, but there is no explicit statement of when to use this over dailymotion_video or dailymotion_search, and no exclusion or prerequisite conditions.

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