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 genuinely useful constraints beyond that: only 'public' articles (no paywalled/authenticated content) and only 'canonical' URLs (not AMP or listing pages), plus the note that both metadata and body paragraphs are returned.

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?

A single front-loaded sentence that identifies the resource and the input with zero filler. Nothing is redundant with the schema or annotations.

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 one-parameter, read-only extraction tool with an output schema and readOnly/openWorld annotations, the description supplies everything an agent needs to decide to call it and what URL to pass. Return-value detail is correctly left to the output schema.

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 description carries the burden and does so reasonably: it specifies the parameter must be a canonical article URL, telling the agent what format to supply. It stops short of examples or error behavior for non-article URLs.

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?

Names a specific verb (Extract), a specific resource (MakeUseOf article metadata and readable body paragraphs), and the input it operates on (a canonical article URL). It is clearly distinguishable from sibling makeuseof_headlines/makeuseof_news/makeuseof_sections tools, which surface lists rather than full article content.

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 phrase 'from a canonical article URL' implies the precondition that the caller must already have an article URL, but there is no explicit when-to-use, when-not-to-use, or pointer to siblings like makeuseof_headlines for discovering URLs. 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.