byteplus_generate_image

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

The description discloses meaningful behavioral traits beyond the annotations: quota consumption ('mengurangi kuota gratis akun'), URL validity ('valid 24 jam'), local download behavior via save_to_disk, watermark default, and output JSON structure. Annotations only flag readOnly=false/idempotent=false/destructive=false, so this behavioral detail is additive and non-ctradictory.

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 long but well-structured with clear sections: purpose, Args, Returns, success example, and usage triggers. The most important scoping information is front-loaded, and each section adds actionable value rather than repeating boilerplate.

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 an external API tool with quota implications, multiple models, download behavior, and a JSON return format, the description is effectively complete. It includes an output example, parameter semantics, default behavior, and use-case routing; the only minor omission is sekuence_format, which is already covered in the schema.

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?

Despite the reported low top-level schema coverage, the Args block documents the main parameters with defaults, constraints, and purpose-to-model mapping, which adds practical meaning beyond the raw schema. It omits sekuence_format from the prose, but the schema already defines that parameter fully, so the gap is minor.

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 leads with a concrete verb and resource: 'Generate gambar via BytePlus ModelArk (Seedream)' and enumerates concrete use cases: logo, mockup UI/UX, and dokumen ilustrasi. This makes the tool's purpose unambiguous and clearly distinguishes it from the sibling 'byteplus_list_models'.

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 'Kapan dipakai' section provides explicit usage triggers with purpose mapping ('Buatkan logo' -> purpose='logo', etc.), which is clear practical guidance. It does not explicitly mention when not to use the tool or compare it to alternatives, so it stops short of the highest bar.

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