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

With no annotations at all, the description still discloses meaningful behavior: dispatch to Modal AI workers, per-run credit cost varying by model and file size, exclusion of Day Pass/welcome credits, file deletion after processing, and an audit/retention URL. What's missing is latency/async behavior, authentication expectations, and any error semantics — so it falls short of a 5.

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?

Placeholder — see correction below.

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 zero-parameter tool with no output schema, the description should explain the actual call mechanic (e.g., that it opens a UI workspace where text and languages are entered, and what the caller gets back). Instead it spends most of its length on credit-pack and subscription marketing, leaving the most decision-relevant mechanic unexplained.

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 accepts zero parameters, yet the description instructs the user to 'paste text, choose its source and target languages,' implying inputs the schema does not define. An agent reading this cannot tell whether it must pass text/languages or call with an empty object, so the description actively confuses rather than 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 opening sentence states a specific verb and resource — translate a document, with source and target languages — which is enough to separate it from siblings like mio_ai_document_summarizer or mio_ai_video_translator. The 'paste text' framing muddies whether the input is a document or raw text, but the core purpose is still legible.

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 guidance on when to pick this over mio_ai_video_translator or mio_ai_document_summarizer, and no prerequisites (language support, size limits, async vs sync). The only routing-adjacent content is pricing text, which addresses cost, not tool selection.

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