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

It goes far beyond basic retrieval by detailing the internal content structure (summary, changes, deep content, observations), the output format (Markdown), and specific fallback behaviors for cover images.

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 concise while managing a high density of information regarding content fields, formatting, and external dependencies.

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?

Since there is no output schema, the description provides excellent completeness by detailing exactly what information the AI can expect to receive and how that information will be rendered.

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?

With 0% schema description coverage, the description must compensate. It merely states the parameter is an ID from list_news without providing any semantic explanation or constraints beyond what is already defined in the schema.

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 defines the action (retrieving detail) and the resource (article content), distinguishing itself from sibling tools like list_news by focusing on the full content rather than just listing.

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 explicitly establishes a workflow dependency, requiring the ID to be sourced from list_news, which prevents incorrect invocation.

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