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

Annotations already declare readOnly, idempotent, non-destructive, open-world. The description adds context the annotations cannot carry: results come back newest-first, each item carries an ID plus basic interaction data, and each successful call costs ¥0.1 with automatic refund on failure or empty results — relevant for an agent managing call budget. Return pagination mechanics remain unstated, keeping it below 5.

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 the resource and return shape, followed by usage and cost. Minor redundancy between '回答列表' and '发布的内容列表' slightly blurs whether it returns only answers or all content types.

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 compensates by naming the returned fields and ordering, and it covers cost/billing edge cases. For a four-parameter list endpoint this is nearly complete; only pagination behavior and the answer-vs-all-content ambiguity are unresolved.

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 limit (default 20), offset, user_url_token, and the _token fallback are all documented in structured form. The description adds no parameter-level meaning such as maximum limit or how offset interacts with limit, so it stays at the baseline.

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: fetch a Zhihu user's answer/content list, with scope (per-account), ordering (reverse chronological), and payload (content ID plus basic engagement metrics). This is enough to separate it from zhihu_keyword_search or zhihu_post_detail, though it never names the nearest sibling zhihu_user_info, so the boundary between 'profile' and 'posts' is left implicit.

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?

Gives concrete use cases — monitoring an account's posting cadence, content strategy, or bulk-collecting that account's content IDs. No explicit when-not or 'use X instead' routing is provided, but the positive guidance is specific enough to select the tool confidently.

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