create_audio

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

With no annotations, the description should disclose behavioral traits like output format, file storage behavior, or rate limits. It only states it creates audio, lacking details on whether it saves to disk, returns a URL, or any potential side effects.

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 sentence, but it is too terse to be informative. It omits important details about parameters, behavior, and usage, making it under-specified rather than 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?

Given 6 parameters and no schema descriptions, the description is severely incomplete. It does not mention the output schema, return value, or any context about the API being called (e.g., authentication, latency). An agent would lack critical information to invoke this tool correctly.

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 0%, so the description must add meaning to parameters. It only mentions model and voice selection, ignoring text_prompt, instructions, speed, and output_file_name. No parameter-level details are provided beyond the schema names.

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 it creates text-to-speech audio using OpenAI's TTS API, specifying model and voice selection. This distinguishes it from sibling tools like transcribe_audio or compress_audio.

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 on when to use this tool versus alternatives like transcribe_audio or chat_with_audio. It does not mention prerequisites, such as API key requirements, or scenarios where this tool is preferred.

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