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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is fully covered. The description adds a useful content fact — that languages fall into two groups, one with article editions and one with AI summaries — but says nothing about ordering, the shape of the returned groups, or whether the '87' is a fixed count.

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 short sentence with no filler, front-loaded on the resource. It is efficient, though the elliptical grammar costs a little clarity rather than adding noise.

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?

With no output schema and no parameters, the description must carry the return-value burden alone, and it only partially does: it implies two categories of languages but not how they are represented or ordered. For a trivial read-only enumeration this is adequate, but not fully self-contained.

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, so there is nothing for the description to disambiguate. Baseline 4 applies; no parameter text is expected or needed.

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 resource (language editions / languages) and hints at a listing, but it is a noun phrase with no verb, so the agent must infer 'returns a list of languages.' It does distinguish the resource from siblings like get_article and list_sections, but the two-clause phrasing ('editions with their own articles' and 'the 87 languages with AI summaries') is ambiguous about what is actually enumerated.

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 guidance on when to call this versus alternatives, nor any prerequisite or context. Nothing is misleading, but the agent gets no signal about whether this is a discovery step, a config lookup, or a filter for other tools.

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