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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint, and destructiveHint=false, so the safety profile is fully covered. The description's only added behavioral claim is that the response is JSON with a 'tasks' array, which duplicates what the output schema already provides rather than adding new context such as static-ness, caching, or rate behavior.

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?

It is short and front-loaded, but the second sentence describing the JSON 'tasks' array is filler since an output schema exists; that sentence consumes half the description without earning 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?

For a zero-parameter lookup with an output schema and full annotation coverage, the bar is low and the essentials are technically present. However, the description explains only the return envelope (already in the output schema) and omits the actual purpose and scope of the language list, leaving it minimal rather than complete.

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 by rule the baseline is 4. The description appropriately says nothing about parameters, and there is nothing for it to clarify.

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 indicates the tool returns a list of languages, matching the title, but it phrases this as 'you will receive the list of languages by calling this API,' which borders on restating the call itself rather than stating the purpose. It does not differentiate this lookup from the analogous sibling lookups (get_dataforseo_content_locations, get_dataforseo_content_categories) or explain what the languages are used for in the Content Analysis API.

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 and no mention of alternatives, despite a cluster of sibling lookup tools that an agent must choose between. The agent is left to infer that this is a static enumeration of supported languages.

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