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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds which data categories are returned (byline, bio, social links, recent articles), but says nothing about pagination limits on 'recent articles' or auth requirements.

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 front-loaded sentence that enumerates the return payload with zero filler. Nothing to trim and nothing important buried.

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?

An output schema exists, so return-value shape need not be explained, and the description nonetheless summarizes the payload. For a single-parameter read tool this is essentially complete, missing only light guidance on URL form and recency scope.

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 a single url parameter with 0% schema description coverage, so the schema gives no meaning. The description partly compensates by specifying it must be a 'canonical author URL', but does not give a format example or say whether other URL shapes are rejected.

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 ('Returns') and resource (a New York Post author's byline metadata, biography, social links, recent articles), so the agent knows exactly what it yields. It doesn't explicitly distinguish itself from siblings like nypost_article or nypost_headlines, but the 'author' scope is unambiguous.

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?

Implies usage via 'from a canonical author URL', which hints at the required input form, but there is no explicit when-to-use/when-not guidance and no named alternative such as nypost_article for single-article retrieval. Usage is inferable rather than stated.

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