languages

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

With no annotations, the description carries the behavioral burden, and it does convey a read-style 'List' operation rather than a mutation. It does not state whether there are side effects, response details, or how 'capabilities' are represented.

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?

One tightly worded sentence with the action and the three content areas front-loaded. Every word earns its place and there is 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?

For a zero-parameter listing tool, naming the output categories (audio, IPA, verb forms) is largely sufficient. It stops short of describing the exact shape of the returned list or error behavior, but no additional input context is needed.

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 input schema is empty and coverage is 100%, so there are no parameter semantics for the description to add beyond the baseline for a zero-parameter tool. The description does not mislead about arguments.

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 uses a specific verb ('List') and names a concrete resource ('supported languages') plus salient capabilities, so an agent can tell what it does. It does not explicitly contrast itself with the sibling 'define', so it misses the strongest form of differentiation.

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?

No guidance is given about when to call this tool versus 'define' or any alternative. The word 'supported' implies a discovery/read use, but the conditions and alternatives are left entirely implied.

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