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

With no annotations provided, the description carries the full behavioral burden, yet it discloses nothing about pagination semantics (despite a max_id cursor), rate limits, authentication requirements, or the shape of the result. Only the vague hint from the _token parameter suggests auth is handled, which is not stated in the description itself.

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?

It is a single short phrase with zero filler, but the brevity comes at the cost of substance rather than being earned concision — there is nothing front-loaded because there is almost nothing to front-load.

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 tool with four parameters, no output schema, and zero annotations, a five-character description is inadequate; an agent cannot determine return format, pagination behavior, or auth handling from it.

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 all four parameters (post_id, count, max_id, _token) are already documented in the schema, establishing a baseline of 3. The description adds no parameter-level meaning beyond what the schema already supplies.

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 phrase '微博帖子评论列表' identifies the resource (comments on a Weibo post) and implies a list/retrieval operation, which distinguishes it from weibo_post. However it is a bare noun phrase with no explicit verb or scope, leaving the agent to infer that it returns comments rather than, say, metadata about them.

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?

There is no guidance on when to use this tool versus alternatives such as weibo_post or the other *_comments siblings, and no mention of prerequisites like needing a valid post_id or authentication token. Usage is only weakly implied by the name.

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