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

With no annotations, the description carries the full burden. It does disclose pagination and the shape of each returned item (author, like count, reply count), which is genuinely useful. It says nothing about auth requirements, ordering, rate limits, or whether replies to comments are included, leaving meaningful behavioral gaps.

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?

Two compact sentences, front-loaded with what the tool returns before the motivational use case. The phrase 'about content that is working' is slightly promotional but still short and does not bloat the definition.

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 it does name the per-comment fields, which partly compensates. However, it omits whether the result is top-level comments only versus replies (a live sibling distinction), ordering, and the nextCursor contract mentioned in the schema, leaving modest gaps for a paginated read tool.

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 aweme_id, count and cursor are already documented with defaults and ranges. The description adds only the concept of pagination, which the schema already conveys via the cursor field, so baseline 3 is appropriate.

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 and resource ('Read a video's comments, paginated') and names the returned fields, so the agent knows exactly what it retrieves. It does not distinguish itself from the sibling comment_replies or clarify whether replies are included, 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?

The second sentence gives implied usage ('hear the audience's own words... for hooks, objections and demand signals'), which frames intent but not operational selection criteria. It never says when to prefer this over comment_replies, video_detail or pick_comment_winners, and gives no exclusions.

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