bvoiz_demo_synthesize

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

With no annotations, the description carries the full burden and does add real value: it discloses that no account or credits are required and that input is capped at 300 characters, which is important for planning. However, it says nothing about the return value (raw audio vs. URL vs. base64), rate limits, or that save_to_file writes to the local machine.

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?

Two tight sentences with zero filler; the free/no-account/limit information is front-loaded before the recommended use case. Every clause earns its place.

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?

For a 7-parameter tool with no annotations and no output schema, the description covers the access model and input limit but omits what the tool returns and what happens on disk when save_to_file is used. An agent can call it, but cannot fully predict the response shape.

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 100%, with each of the 7 parameters documented in-schema including ranges, defaults, and the enum for audio_type. The description adds no parameter-level meaning beyond repeating the 300-character cap, so the baseline of 3 applies.

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 states a specific verb and resource ('Thử nghiệm giọng đọc BVoiz AI' – test a BVoiz AI voice), which is distinct from the bulk-conversion siblings. It does not name the alternative tool (bvoiz_synthesize_speech) explicitly, so a sibling differentiation is only implied via 'trước khi chuyển đổi số lượng lớn'.

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?

It gives clear usage context: suitable for checking a voice sample before converting large volumes, which tells the agent when this tool is the right pick. It stops short of naming the alternative tool or stating explicit exclusions (e.g., use the paid tool when you need more than 300 characters).

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