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

With no annotations supplied, the description carries the full burden of behavioral disclosure. It implies a safe read via "Get" and states the shape of each record, but says nothing about authorization, workspace scoping behavior, ordering, page size, or whether the result can be empty for an unconfigured workspace.

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 short sentences with no filler; the subject of the operation is front-loaded and the return contents follow immediately. Nothing is repeated or padded.

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?

For a zero-parameter read with an output schema present, the description covers purpose and return contents adequately, so return-value detail is not required. The one real gap is the absence of any pointer distinguishing it from the closely named list/get siblings.

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 and the baseline of 4 applies. The per-language field list (names, codes, formality settings, custom style directives) reinforces what the caller receives without conflicting with the empty 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?

"Get all languages configured for the Nativ workspace" is a concrete verb+resource with clear scope, and the second sentence enumerates what each record contains. It stops short of differentiating from the nearby siblings list_language_settings and get_language_formality_options, which read as overlapping.

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 list_language_settings or get_language_formality_options, and no stated prerequisites or exclusions. The agent must infer selection purely from tool names.

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