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

Annotations cover readOnlyHint and openWorldHint, and an output schema exists so return shape is already documented. The description adds a useful summary of what content is retrieved but does not disclose error behavior or validation expectations.

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?

One compact sentence that front-loads the resource and lists fields efficiently. No filler, though it could be slightly more explicit about the primary key.

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 an output schema present, the description needn't explain return fields. It adequately conveys that a single article's full content is returned and that a URL identifies it, though it lacks usage context about where to obtain that URL.

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?

There is 1 parameter with 0% schema description coverage, so the schema alone does not explain it. The description implies the tool operates on a specific article (by URL) but doesn't explicitly describe URL format, though for a single obvious URL input this is adequate.

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 tool returns a single CNN article and enumerates the fields it contains, which is specific and distinguishes it from a list-returning headline/news tool. However, it does not name sibling CNN article tools or differentiate from e.g. cnn_headlines or other news_article tools.

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 offers no when-to-use guidance, no mention of the required URL input or where it should come from (e.g. cnn_headlines), and no alternatives. Usage is only implied by the name and field list.

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