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

There are no annotations, so the description carries the behavioral transparency burden. It honestly discloses that the output is synthesized and approximate, and explicitly states it is not from a native speaker. This is a key behavioral trait that adds value beyond the name and schema.

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 a single, concise sentence that front-loads the core function and includes a necessary caveat. Every word adds value; there is no redundancy or 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 simple tool with one parameter and no output schema, the description is complete. It states what the tool produces, the input type, and the key limitation. This is sufficient for an agent to decide whether and when to invoke it.

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 has one required 'text' parameter with no description. The tool description says 'for a transliteration or word', which directly clarifies the parameter's intended content. This compensates for the 0% schema coverage, though it could explicitly name 'text'.

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 clearly states the tool produces a synthesized pronunciation guide with respelling and approximate IPA, and specifies the input type (transliteration or word). This is a specific and unique purpose, clearly distinguishing it from any sibling tool.

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 implies when to use: when you need a rough pronunciation guide for a word or transliteration. The caveat 'not a native speaker' explicitly tells users not to expect native-quality pronunciation, providing a clear limitation. No alternative tool is named, but the context is sufficient.

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