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

With no annotations provided, the description carries the burden of behavioral disclosure. It mentions important behaviors: auto-detection of source language, preservation of formatting and cultural nuances, and tone control. However, it does not specify whether the operation is read-only or has side effects, nor does it mention rate limits, authentication, or error behavior such as failures for unsupported languages. For a translation tool that likely makes external API calls, this is a moderate gap.

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, concise sentence of about 25 words, with each clause earning its place. It front-loads the primary action ('Translate text to any language') followed by key features (tone control, auto-detection, formatting preservation). No filler or redundancy; it is easy to parse quickly.

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 has 4 parameters, 2 required, and no output schema, the description covers the core function but leaves some gaps. It doesn't explain the return format (e.g., translated text only or also detected source language), which could be important for an agent to parse the result. It also doesn't mention limitations like unsupported languages or maximum input length, though the schema hints at a 20,000 character limit. The description is sufficient for basic use but could be more complete for error handling and response parsing.

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 schema description coverage is 100%, so all four parameters (text, tone, sourceLanguage, targetLanguage) have descriptions in the schema. The tool description adds context about tone control and auto-detection, which maps to the 'tone' and 'sourceLanguage' parameters. However, it doesn't add details about the format of the 'text' parameter (e.g., encoding) or the exact format of 'targetLanguage' (though the schema gives an example). The description complements the schema adequately but doesn't significantly enhance understanding beyond what the schema already provides.

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 the tool's purpose: 'Translate text to any language with tone control' and lists specific tone options. It also mentions auto-detection of the source language and preservation of formatting and cultural nuances, which clearly distinguishes it from sibling tools like 'summarize' or 'sentiment' that perform different text processing tasks.

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 description implies when to use it (any translation task) but does not explicitly state when not to use it or mention alternatives among the listed sibling tools. Since there are no obvious translation siblings in the list, the lack of explicit exclusions is a minor gap, but the purpose is clear enough that an agent would know to use it for translation needs.

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