chat_with_audio

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

No annotations are provided, so the description must cover behavior. It only discusses model limitations; it omits important traits like processing time, authentication needs, or that the tool generates a response.

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 brief (three sentences) and front-loaded with the core purpose. It avoids unnecessary words, but could be better structured by grouping model advice separately.

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?

Despite having an output schema and four parameters, the description does not explain the output or the optional parameters (system_prompt, user_prompt). The advice on models is helpful but overall incomplete for effective tool invocation.

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 is 0%, so description must explain parameters. It covers the model parameter with recommendations, but input_file_name, system_prompt, and user_prompt receive no explanation beyond what the schema provides.

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 chats with audio files, which distinguishes it from sibling tools like compress or transcribe. However, it does not specify what type of response is returned (e.g., text or audio), leaving slight ambiguity.

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?

Only recommends a default model and warns about the mini variant, but does not explain when to use this tool versus alternatives or provide context on prerequisites like audio file format.

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