upscale_photo

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

With no annotations provided, the description carries the full burden. It does disclose the meaningful behavioral outcome (4K upscaling plus micro-texture restoration), which is more than the schema says, but it omits credit consumption, whether the operation is synchronous, and what happens to the source image.

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?

A single front-loaded sentence with the verb and the quality outcome first and zero wasted words. Nothing needs to be trimmed.

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 generative mutation tool with no annotations and no output schema, the description is thin: it never says what is returned (a URL? a generation ID?), whether credits are charged, or how '4K' relates to the scaleFactor of 2 or 4 — a tension left unresolved.

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 imageUrl and scaleFactor are fully documented in the schema itself. The description adds no syntax, format, or constraint detail beyond that, so the baseline 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?

Names a specific verb and resource ('AI-upscale photo') and adds a concrete outcome ('4K resolution with micro-texture restoration'). It does not, however, differentiate itself from the sibling resize_image_for_platform, which an agent could plausibly confuse it with.

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?

There is no guidance on when to choose this over resize_image_for_platform, nor any prerequisites such as credit cost or supported input formats. The agent must infer the use case entirely from the name and one descriptive clause.

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