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

With no annotations, the description carries the full behavioral burden. It discloses that the pack contains a prompt, usage guide, and edge-case handling, which is some useful context about the artifact. But it does not explain whether the tool returns static text or generates content, what the output format is, or any limits or authentication needs.

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 only three short sentences, but the opening hook ('Turn expertise into output') and the 'in minutes' promise are generic marketing filler. The contents list is front-loaded enough, but the wording is less precise than a direct statement like 'Returns a Zhihu roundup prompt pack.'

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 simple one-parameter prompt-pack tool, the description gives only a generic contents list. It omits the platform, the intended content type, and any distinction from the many adjacent roundup kits, which are the key things an agent needs for selection. No output schema exists, so the description should say more about what is returned.

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% for the single optional 'query' parameter, so the schema already documents its meaning. The description says nothing additional about query format, expected content, or how scoping works. The baseline score of 3 is appropriate because the schema does the heavy lifting.

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 identifies a 'roundup kit prompt pack' and lists its contents, so the agent can infer it is a packaged prompt resource rather than an analytical operation. However, it never names the platform (Zhihu, implied by the 'zh-' prefix) or explains what 'roundup' means in this family, and it does not distinguish the tool from the many sibling roundup kits such as dy-, gzh-, xhs-, and sph-roundup-kit. The phrase 'restaurant and brand teams' is narrower than the likely audience and adds ambiguity.

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?

No when-to-use guidance, prerequisites, or alternatives are given. The agent cannot tell whether to choose this over dy-roundup-kit, gzh-roundup-kit, xhs-roundup-kit, or a general copywriting tool. The 'in minutes' benefit claim does not substitute for selection criteria.

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