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

Annotations already declare this is a safe read-only, idempotent, closed-world operation. The description adds valuable behavioral context beyond annotations: the two response modes, the prerequisite relationship to `generate_from_niche`, and the caveat that `price.tokens` reflects default settings only. It does not cover permissions or rate limits, but those are less relevant for this read-only listing tool.

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 dense but front-loaded around the two `slug` modes, and most sentences carry actionable guidance. It is slightly telegraphic in places, but there is little wasted text for a tool with an important downstream workflow dependency.

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?

Given one optional parameter, no output schema, and read-only annotations, the description is complete enough to call correctly. It explains both return modes, the fields available in each, the shortlist behavior, the price caveat, and the `generate_from_niche` follow-up.

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 100%, and the schema already explains omitting `slug` for cards versus supplying one for a full niche. The description adds meaningful semantics: the slug mode is required before `generate_from_niche` and returns `inputs`, `settings`, and `revision`, which helps the agent understand why and when to pass it.

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 states a specific resource and verb: listing aicut trend-template niches, with the distinct one-shot video format scope. It also distinguishes these from AI Video Story series via `list_series`, so an agent can separate it from siblings before inspecting schemas.

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?

It explicitly covers both usage modes: without `slug` for cards and with `slug` for a full single niche. It also gives workflow guidance, including that the slug mode is required before `generate_from_niche`, and says to shortlist 3-5 fits rather than dump the list.

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