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

With no annotations, the description carries the full burden and does so well: it discloses the 2,000-char cap, per-call price ($0.01), the credit source and that top-ups are paused, and that failed/empty calls are free. It also states the return shape. It stops short of rate limits or error-mode specifics, but this is strong unannotated disclosure.

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?

Three tight sentences, front-loaded with purpose, limits, and cost. Every clause carries information (length cap, cost, failure pricing) with no filler.

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?

Although no output schema exists, the description explicitly describes the return (detected source language plus full translation), covers cost and limits, and notes failure pricing. Only unusual error modes are left implicit, which is minor for a straightforward translation call.

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 coverage is 100%, so the baseline is 3. The description restates the char limit and source auto-detection, which the schema already documents, and adds no format guidance for target_lang beyond what the schema's own example 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?

Specific verb (translate) plus resource (text) with scope stated up front: 2,000-char limit, any language pair, source auto-detection. None of the sibling tools overlap with translation, so the agent can position it immediately. The purpose is unmistakable.

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 competing sibling for translation, so no alternatives need naming, but the description never explicitly states when to reach for it versus other routes (e.g. web_answer for quick lookups). Usage is implied by the character limit and cost note rather than stated.

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