analyze_ui_screenshot

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

With no annotations provided, the description carries the full burden. It discloses the return categories: 'verified observations, inferred behavior, uncertainties, and structured component data.' While it doesn't mention auth or side effects, a read-only analysis tool has minimal behavioral concerns, and the stated outputs are informative.

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 three sentences with no waste. The first sentence states the purpose, the second lists use cases, and the third describes the output. It is front-loaded and efficient.

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 the complexity of 5 parameters (3 enums, 0 required) and an output schema, the description covers the tool's general output but does not guide parameter selection. The goal enum is briefly implied, but style_system and target_framework are not mentioned. With 0% schema description coverage, more detail is needed for completeness.

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 0%, so the description must compensate, but it provides no explicit parameter explanations. The description mentions identifying layout and components, which relates to the 'goal' parameter, but does not detail each parameter or their values. The enums are self-explanatory, but given the lack of schema descriptions, the description should add more value.

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 'analyze' and the specific resource 'UI screenshot or design mockup', distinguishing it from siblings like analyze_image (generic) and ocr_image (text extraction). It emphasizes 'frontend implementation' as the context, setting it apart from other image tools.

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 tells when to use the tool: 'to identify layout, components, labels, states, accessibility issues, and implementation hints.' It also lists the goal enum values in the schema, which imply different use cases. However, it does not explicitly state when not to use or name alternatives, though the sibling tools provide implicit context.

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