upres_upscale_image

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

With no annotations provided, the description must carry behavioral disclosure. It communicates that the call submits a job (implying asynchronous work), but it does not mention what the response contains, that the caller must poll with upres_get_job, or any constraints beyond a public URL. For a job-submission tool with zero annotation coverage, this is a meaningful gap.

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 two short sentences with no filler. The core action and requirement are front-loaded, and the model list is presented compactly.

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?

Despite simple parameters, this is an asynchronous job submission with no output schema and no annotations. The description does not explain the return value, how to track the job, or the relationship to upres_get_job, leaving an agent without enough context to know what happens after invoking it.

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%: every parameter, including enum values and defaults, is documented in the schema. The description's model list is a duplication of the enum and adds no semantic depth, so the baseline 3 is appropriate.

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 a specific verb and resource: 'Submit an image upscale job.' It also names the available models, and the word 'image' distinguishes this from the sibling upres_upscale_video. This is enough for an agent to know what operation is being offered.

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 gives useful context by requiring a public URL and listing models, but it does not explicitly say when to choose this over siblings such as upres_upscale_video, upres_get_job, or upres_get_credits. Usage guidance is implied rather than stated.

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