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

With no annotations provided, the description carries the full burden of behavioral disclosure. It meaningfully discloses that the operation is paid, that it works on public URLs only, and that output is cleaned text. It does not mention rate limits, authentication, or failure behavior, but for a simple one-parameter read tool the most important behavioral trait—cost—is stated.

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 sentence with no filler. The critical constraints—paid, public, known URL, clean text—are packed in efficiently, and the most decision-relevant modifier ('paid') appears early.

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?

This is a low-complexity tool with only one parameter and an output schema available, so the description does not need to explain return structure. It covers the core prerequisites: the target must be a known public webpage, and the call is paid. Missing details like error handling or cost specifics are minor gaps for a simple fetch-style tool.

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?

The input schema provides zero description for the single 'url' parameter, so the description must compensate. It adds useful context by specifying the URL must be for a known public webpage and that the result is clean text. However, it does not clarify expected URL format, whether the URL should be fully qualified, or how status codes/errors are handled, leaving some ambiguity for the agent.

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 resource (webpage URL) and action (read clean text), which clearly identifies what the tool does. The phrase 'Prepare a paid request' slightly obscures whether the tool actually performs the read or merely stages a request, but the tool name and 'to read clean text' make the intent understandable. The sibling tools are all about people/companies, so there is no real overlap to distinguish against.

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 implies when to use the tool: when you have a known public webpage URL and want clean text. It does not explicitly discuss when not to use it or provide alternative tools, though none of the listed siblings obviously compete with reading a webpage. The 'paid request' warning is useful context for cautious use, but there is no explicit guidance about avoiding unnecessary calls or handling non-public URLs.

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