acedatacloud_get_translation_capabilities

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

With no annotations, the description carries full behavioral burden. 'List' implies a non-mutating read operation, which is accurate. It doesn't describe return structure or side effects, but none are expected. It clearly signals read-only intent.

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, concise sentence that is front-loaded with the verb and resource. No wasted words; every word contributes to meaning.

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?

Given the tool's simplicity—no parameters, a read-only list operation—the description is nearly complete. It could explicitly note 'read-only' or 'availability' but 'list' suffices. Sibling context helps, but the description stands alone well.

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?

There are zero parameters, so the baseline is 4. The description doesn't need to add parameter details. It correctly has an empty schema, and the description aligns with the no-input expectation.

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 clearly states it lists models and fields supporting automatic translation, which is a specific verb+resource. It distinguishes implicitly from siblings like enable_translation and disable_translation, though it doesn't explicitly contrast them.

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 context is implied: an agent would call this to discover translation capabilities before enabling translation. However, no explicit when-to-use, exclusions, or alternatives are mentioned. The function is simple enough that this is adequate but not explicitly guided.

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