UI To Artifact

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

No annotations are provided, so the description carries the burden. It discloses the main behavior (conversion) and enumerates output types, which gives a good sense of what will happen and what will be returned. It does not mention any restrictions, model behavior, or whether the input is uploaded/stored, but for a non-mutating conversion tool this is a moderate 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?

Single-sentence description with a precise verb and a list of outputs; no filler or repetition of the tool name. It 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?

The description is terse and does not reference its sibling tools or the 'question' parameter's role in selecting output style, and with no output schema the agent may not know the exact return format. However, the schema covers parameters and the output types are named, making it minimally complete for a moderately complex tool.

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?

All five parameters have schema descriptions (100% coverage), so the schema already explains the fields. The description adds context about the desired outputs ('implementation notes, layout structure, design specs, recreation prompts') but does not elaborate on parameter-specific semantics such as how 'question' interacts with the default task or how 'detail' affects conversion.

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 clearly states the verb 'Convert' and the target input 'UI screenshots', and enumerates four concrete output artifact types (implementation notes, layout structure, design specs, recreation prompts). This distinguishes it from sibling tools like analyze_image or extract_text_from_image by defining UI-to-artifact conversion as its specific niche.

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 conveys clear context: it should be used when you have a UI screenshot and need a derived artifact. It does not explicitly name alternatives or state when not to use it, though the 'UI screenshots' scoping implicitly separates it from general image analysis tools.

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