upscale_image

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

With no annotations provided, the description carries the full transparency burden. It adds useful behavioral context: local processing, GPU-based acceleration via Vulkan, no login required, and PNG output. It does not disclose failure cases or side effects, but the core operational traits are present.

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?

One dense, front-loaded sentence that commicates the essential purpose, backend, authentication requirement, default behavior, and output format with no filler. Every segment 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?

Given four parameters, no output schema, and no annotations, the description covers the key operational context: local execution, GPU requirement, no login, default scale, and output format. Minor gaps remain around default model choice and error behavior, but the schema covers the parameters thoroughly.

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 a baseline of 3 applies. The description goes slightly beyond the schema by specifying '输出 PNG', which clarifies the format of the out parameter, and '默认 4x', which reinforces the scale default. This adds meaningful value 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 states a specific action (super-resolution upscaling), resource (image), engine (Real-ESRGAN + Vulkan), and output behavior (default 4x PNG). This clearly separates it from sibling tools like remove_bg, remove_watermark, and compress_image.

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 purpose and sibling names imply that upscale_image is for enlarging/enhancing images rather than background removal, watermark removal, or compression. However, there is no explicit guidance about when to choose this tool over alternatives or when not to use it.

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