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

No annotations are provided, so the description carries the full burden. It explains the semantic intent of localization but does not disclose what the tool returns, how it handles unsupported languages or invalid inputs, or any other behavioral characteristics. This is minimal for a tool with no output schema.

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?

The description is a single, front-loaded sentence with no redundant wording. It conveys the core purpose and key parameters efficiently, earning every word it uses.

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 five parameters, no schema descriptions, no annotations, and no output schema, the one-sentence description is not enough for an agent to confidently invoke the tool. The agent is left without input format conventions, parameter semantics details, or knowledge of the return value.

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 description adds some meaning by naming the target language, locale, audience, and tone as localization dimensions, which is more than the bare schema provides. However, schema description coverage is 0%, and the description gives no format, allowed values, or examples for these string parameters, so it only partially compensates.

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 uses a specific verb and resource ('Localize text') and names the key dimensions: target language, locale, audience, and tone. It also distinguishes itself from literal translation, which helps differentiate it from the sibling translate_text, though it does not name that sibling explicitly.

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?

The phrase 'for a target language, locale, audience, and tone' provides clear context for when this tool should be used. The 'not merely literal translation' clause implies an alternative use case, but it does not explicitly instruct the agent to use translate_text for literal translation or state when not to use this tool.

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