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

The description discloses the output format ('Returns a downloadable WAV audio file'), which is not covered by the annotations or schema. It also confirms the generative nature without contradiction. However, it adds limited detail about failure modes, rate limits, or authentication, which the annotations don't cover; still, the output disclosure exceeds the baseline.

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 compact and front-loaded with the primary action, followed by clear use cases and a final output note. Every sentence provides relevant information without redundancy.

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 the tool's moderate complexity, the description sufficiently covers the core purpose, usage scenarios, and return format. It does not repeat tier limitations or internal flags, but those are well-documented in the input schema. The description is complete enough for an agent to select and invoke the 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?

All six parameters have detailed schema descriptions covering 100% coverage, including defaults, enums, and constraints. The tool description repeats 'Supports 23 languages' and 'Adjust voice expression' but adds no additional parameter semantics beyond the schema. Thus, it earns the baseline of 3.

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 opens with 'Generate natural speech from text using Boost Audio AI,' clearly stating the tool's function as a text-to-speech generator. It also mentions language support and voice expression adjustment, and the use cases distinguish it from sibling audio editing tools.

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 explicitly states 'Use this when the user wants to convert text to audio, create a voiceover, narrate content, or listen to text read aloud,' providing clear when-to-use context. However, it does not mention exclusions or alternatives, so it stops short of full comparative guidance.

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