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

With no annotations provided, the description carries full burden and excels: it discloses that this is an AI Studio run (with cost implications), that credits vary by model and file size, that Day Pass and welcome credits do not include AI Studio, that files are deleted after processing with an audit trail, and how pricing works. This is extensive behavioral transparency.

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 front-loaded with the primary purpose and usage, followed by necessary operational details. While it contains pricing and workspace information that might be tangential to the core function, each sentence adds relevant context for an AI agent handling user queries about cost, privacy, or limitations. It is not overly lengthy.

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 the absence of an output schema and any parameters, the description is quite complete: it explains what the tool does, the required input, the asynchronous execution path (AI workers), cost model, data retention, and audit trail. It lacks an explicit statement about the output format, but that is implied by 'generate speech in that voice'.

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 tool has zero parameters in the schema, so the description is the only source of input guidance. It explicitly specifies 'upload a 5-10 second recording', which adds crucial semantic detail that the empty schema cannot convey. This goes beyond the baseline 4 for 0-param tools.

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 a specific verb and resource: 'Clone any voice from a short audio sample' and 'generate speech in that voice'. It distinguishes itself from sibling tools like voice_generator by emphasizing cloning from an existing sample rather than generating a new voice.

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 provides clear context on when to use the tool: when you have a 5-10 second recording and want to generate speech in that voice. It does not explicitly name alternative tools or exclusion scenarios, but it gives enough contextual clarity for an agent to select it appropriately.

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