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

With no annotations, the description carries the full burden and does well: it discloses the content-cleaning transformation and the exact return payload (text, title, content-type, HTTP status, length). It omits auth requirements, rate limits, timeouts, JS-rendering behavior, and error handling, so it stops short of exhaustive disclosure.

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?

Two sentences, zero waste, with the core capability front-loaded ahead of the return-value detail. Every clause earns its place.

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?

No output schema exists, but the description compensates by enumerating return fields, and it covers the transformation behavior in the absence of annotations. For a one-parameter tool this is nearly complete; only failure/timeout behavior is 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 0% and there is a single url parameter. The description implies the parameter is a web page URL, which gives basic meaning, but adds no format, scheme, or constraint details beyond the obvious. Marginal value over the bare 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 names a specific verb (get/extract) and resource (text from a web page), and specifies the scope of extraction: boilerplate, navigation, and ads stripped. An agent can distinguish this retrieval tool from check_link/verify/check_change, which are checking tools, though it never names those siblings explicitly.

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?

There is no when-to-use guidance, no prerequisites, and no mention of alternatives. A phrase like 'so you can work with the actual content' implies a reading use case, but nothing tells the agent when to call fetch versus check_link or verify.

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