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

Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=false and destructiveHint=false, so the safety profile is fully covered without the description. The description adds scope information (which topics the documentation covers) but says nothing about the form of the response or limits on what it can answer.

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 enumerating the covered topics, with no filler, preamble, or repetition of the name or annotations. It is appropriately sized for a static informational tool.

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?

There is no output schema, but for a static documentation-lookup tool the enumerated topic list is enough for an agent to decide whether the call will answer its question. A brief note on the return form (e.g., prose documentation) is the only missing element.

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 tool takes zero parameters and the schema is empty, so the baseline of 4 applies. The description correctly implies a parameterless, topic-agnostic fetch rather than leaving the agent to guess at inputs.

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 the concrete scope of the resource: Worder itself, voice-actor payment, voice data handling, supported languages, and pricing. That is far more specific than a tautology like 'About Worder'. It does not, however, distinguish itself from sibling tools such as how_to_order, list_languages, or estimate_cost, whose subject matter overlaps this list.

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 only implied: an agent can infer this is the tool for general/platform-level questions, in contrast to the operational siblings. There is no explicit 'use this when...' statement, no exclusion of the overlapping topics, and no guidance on when to prefer estimate_cost or list_languages for the same subject.

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