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, and it discloses almost nothing: no statement of read-only nature, no pagination behavior despite the last_buffer cursor parameter, no auth note despite the _token parameter, no rate limits. '评论列表' implies a read, but that is inference, not disclosure.

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 short sentence with the resource named first and the parameter provenance in parentheses. Zero waste and ideally front-loaded for a tool of this simplicity.

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?

For a four-parameter list tool with no output schema and no annotations, the description covers the required parameter's origin but omits result shape, pagination semantics for last_buffer, and the role of comment_id (reply retrieval). The schema carries parameter documentation, so it is adequate but with clear gaps.

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 would be 3, and the description adds genuine meaning beyond the schema for the required parameter by explaining that object_id is the id returned from the work-detail response (the schema only says '作品ID'). The other three parameters (comment_id, last_buffer, _token) get no additional explanation, so it stops short of a 5.

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+resource: the comment list for a 视频号 (WeChat Channels) work. The 'channels_' prefix and '作品评论列表' wording separate it from the many sibling comment tools (weibo_comments, xhs_note_comments, douyin_video_comments), though the description itself does not call out that distinction 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?

It does give one useful precondition — object_id must be taken from the id field returned by the work-detail call — which tells the agent this tool depends on a prior lookup. However, there is no guidance on when to use this tool versus the many other comment-listing siblings, nor on exclusions or ordering.

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