fetchJuejinArticle

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions 'fetch full article content,' which implies a read-only operation, but does not disclose other traits such as authentication needs, rate limits, error handling, or what 'full content' entails (e.g., includes images, metadata). This leaves significant gaps for an agent to understand the tool's behavior.

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 a single, efficient sentence that is front-loaded with the core purpose. There is no wasted text, and every word contributes directly to understanding the tool's function, making it highly concise and well-structured.

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?

Given the tool's low complexity (one parameter, no output schema, no annotations), the description is minimally complete. It covers the basic purpose and parameter semantics but lacks details on behavioral aspects like output format, error cases, or usage constraints, which could hinder an agent's ability to use it correctly in varied contexts.

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?

The description adds meaning beyond the input schema by specifying that the 'url' parameter must be a 'Juejin post URL,' which clarifies the expected content type. With schema description coverage at 0% and only one parameter, this compensation is effective, though it could further detail URL format or validation rules.

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 clearly states the specific action ('fetch full article content') and resource ('from a Juejin post URL'), distinguishing it from sibling tools like fetchCsdnArticle or fetchGithubReadme by specifying the Juejin platform. It uses precise verbs and identifies the exact resource type.

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 description implies usage context by specifying 'Juejin post URL,' suggesting it should be used for articles from that platform. However, it does not explicitly state when to use this tool versus alternatives like search or other fetch tools, nor does it provide exclusions or prerequisites for usage.

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