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

With no annotations provided, the description carries the full behavioral burden and does so thoroughly: it discloses payload limits, placeholder/format preservation, order/count guarantees, source-language auto-detection, model fallback behavior, provider exclusion policies, pricing, free-tier terms, and auth requirements. This is far beyond a basic description.

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 front-loaded with the core batch capability, then layers supporting details like preservation, fallback, pricing, and auth. It is slightly dense and mixes marketing-style extras with operational facts, but every sentence contributes useful information and the sample endpoint adds practical value.

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 tool with four parameters, no annotations, and no output schema, the description covers capacity, input shapes, optionality, preservation behavior, and payment/auth constraints. It does not explicitly describe the response envelope, though order/count preservation and 'single string also works' imply the output mirrors the input shape.

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?

Schema description coverage is 0%, so the description must add parameter meaning, and it does: it explains that `text` accepts either a single string or an array of up to 200 segments, that `source_lang` is optional because auto-detection exists, and that format preservation relates to `preserve_format`. It does not specify accepted formats for `target_lang` or `source_lang`, but the main parameter semantics are conveyed.

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 a specific action ('Translate') and resource ('up to 200 text segments... translate a whole file'), making the tool's purpose obvious. It does not explicitly differentiate from the sibling tools jobs and search, but they are unrelated enough that ambiguity is low.

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 gives clear usage context: it is the recommended path for translating whole files in batch versus 200 separate calls, and explicitly says a single string also works. It does not provide exclusions or alternative-tool routing, but for this tool the usage context is strong.

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