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

Beyond the read-only, open-world annotations, the description discloses that the skill's own server-side code answers without a model, cites sources from its card, refuses asks it does not take, and uses UTC for times. These are useful behavioral details, though the description repeats read-only and spends substantial space on promotional evidence rather than operational context.

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 purpose and examples are front-loaded, but the description is bloated with marketing claims about being a proven skill, benchmark evidence, and a-to-mind.com provenance. Several sentences do not help an agent decide when or how to invoke the tool, so the definition is not appropriately concise.

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 simple two-parameter read-only translation skill with full schema coverage, the description is complete enough to support invocation: it explains what kinds of asks are accepted, that unsupported asks are refused, and that results point to a card link. It could be improved by explicitly describing the return shape, but the combination of schema and annotations covers most needs.

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 100%, so both the required ask parameter and the response_type enum are already documented in the schema. The description reinforces the ask format with examples but adds no additional meaning for response_type or other parameter behavior, matching the baseline of 3.

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 makes the purpose clear through the named skill and concrete examples such as "translate hello to spanish" and "translate thank you to japanese". It does not explicitly distinguish this tool from sibling skills like skill_words or skill_define, so it falls short of a 5.

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 examples imply the kinds of asks the tool handles, and the description notes that unsupported asks are refused. However, it gives no explicit when-to-use versus alternatives guidance and does not name sibling tools that might be confused with this one.

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