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

Annotations already declare readOnlyHint=true and openWorldHint=true, covering the safety/network profile. The description adds the useful scope detail that only public content and 'readable body paragraphs' are returned, implying paywalled/script blocks may be omitted, but it discloses nothing about rate limits, truncation, or pagination.

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 tight sentence with the verb and resource front-loaded and zero filler. Nothing could be removed without losing meaning.

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?

The tool is simple (one param) and an output schema exists, so return-shape explanation is unnecessary. The description covers scope (public, metadata + body) adequately; only return caveats like truncation on very long articles are unaddressed.

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?

Schema coverage is 100% with a single required 'url' parameter documented in the schema itself. The description adds the qualifier 'canonical', which slightly narrows expected input format, but contributes no syntax or example beyond the schema. Baseline 3 for high coverage.

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 (Extract) plus the exact resource (MakeUseOf article metadata and readable body paragraphs) and scopes it to a canonical article URL. The site-specific naming cleanly distinguishes it from sibling families like makeuseof_headlines/news/sections/author, though it does not name an alternative tool directly.

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?

Usage is implied rather than stated: the agent can infer it applies when a canonical MakeUseOf article URL is in hand, and the 'canonical' constraint is a useful precondition. However, there is no explicit when-to-use, when-not-to-use, or routing to a sibling such as makeuseof_headlines for listings.

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