Generate Persona Voice

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

With no annotations, the description carries full burden. It adds cost tiers and character limits, and mentions output format (WAV). However, it lacks details on authentication, rate limits, or whether the operation is safe/side-effect-free. The cost info is helpful but not comprehensive.

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 three sentences, front-loaded with purpose, and every sentence adds value (what it does, when to use, cost). No wasted words.

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 5 parameters, no output schema, and no annotations, the description covers purpose, usage context, cost, and parameter hints. Minor gap: no explicit description of return format beyond 'WAV', though it's implied. Overall fairly complete for a speech generation tool.

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 100%, so baseline is 3. The description adds some context by listing persona names and use cases, but the schema already provides descriptions for each parameter including the enum values. The description does not significantly enhance parameter understanding beyond the schema.

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 generates expressive WAV speech with persona voices, listing 10 specific persona names. It differentiates from sibling tools by focusing on persona voices and specific use cases like branded agents and premium experiences.

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 explicit use cases (branded agents, characters, demos, stories, alerts, premium user experiences) but does not explicitly state when not to use or compare with alternatives like generate_standard_voice. Sibling names are present in context, providing implicit differentiation.

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