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

With no annotations, the description carries the full burden, and it does so thoroughly: it discloses the backend (Modal workers), credit variability, exclusion of Day Pass/welcome credits, file deletion after processing, audit trail link, and workspace unlock behavior. This is rich, security-relevant context beyond what a read/write hint would provide.

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 purpose and each subsequent sentence adds operational, financial, or privacy-relevant information. There is no filler or redundancy; every sentence earns its place.

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 covers the essential aspects: what it does, how it runs, cost implications, data retention, account requirements, and pricing reference. It is complete enough for an agent to understand the tool's behavior and constraints.

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 tool has 0 parameters and the input schema is empty, so with 0 params the baseline is 4. The description adds context about file size affecting credits, but there is no parameter detail to explain. It adequately clarifies the execution model without needing to discuss parameters.

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 states a specific verb+resource+scope: 'Translate text between 16 languages using AI.' It clearly distinguishes the tool from siblings like video translator by focusing on text/documents, and explicitly mentions the language capability.

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 provides clear context about AI Studio runs, credit costs, and data deletion, which helps the agent understand when to use it. However, it does not explicitly mention alternative tools for video or audio translation, only implying 'text' usage. It does not give explicit exclusions or alternatives, but the context is clear.

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