i18n_generate_translations

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

No annotations are provided, so the description carries the full burden. It discloses only that this is a generation operation and has a 'Pro' gating signal; it does not mention side effects, external API calls, authentication behavior, rate limits, or what is returned.

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?

A single front-loaded sentence conveys the action, input, and output target with no wasted words. The '(Pro)' qualifier is the only extra element and is useful context.

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?

The schema fully documents parameters and the core task is understandable, but without an output schema or annotations the description leaves workflow sequencing and expected return behavior implicit. It is adequate, not comprehensive.

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 for parameters is 100%, so the baseline is 3. The description adds no parameter-level detail beyond the schema, but no compensation is needed because each parameter is already documented with clear meaning.

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 names a specific verb ('Generate'), a concrete resource ('translations'), and the scope ('extracted strings' into 'target languages'). This clearly distinguishes it from sibling tools like i18n_extract_strings and i18n_setup_framework without needing to open the schema.

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 phrase 'for extracted strings' implies the tool should be used after i18n_extract_strings and before framework setup, but it does not explicitly state this workflow or name alternatives/exclusions. The guidance is present only by inference.

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