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critique_design

Analyze design images for composition, color harmony, typography, and accessibility issues, then deliver actionable recommendations for improvement.

Instructions

Provide comprehensive design critique with visual analysis including composition, color harmony, typography, and accessibility

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
image_dataYesBase64 encoded image data
design_typeNoType of design being analyzedweb
target_audienceNoTarget audience for the design (optional)
brand_guidelinesNoBrand guidelines to check against (optional)
Behavior2/5

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

No annotations are provided, so the description must disclose behavior. It lists analysis areas but does not explain how the critique is delivered, what the output format is, or any limitations (e.g., image requirements, processing behavior). For a tool with no output schema, this is a significant gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, concise sentence that front-loads the primary purpose ('comprehensive design critique') and lists key analysis dimensions. Every word contributes value, with no redundancy or filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has 4 parameters including a nested object, and no output schema, the description should clarify what the critique includes structurally (e.g., sections, scores, text output). It only lists topics covered, leaving return format and usage context unexplained. This is inadequate for a tool of this complexity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so parameters are already documented in the schema. The description adds little beyond naming analysis topics (composition, color, etc.), which loosely relate to parameters like design_type and brand_guidelines. It does not meaningfully enhance parameter understanding beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool provides a comprehensive design critique covering composition, color harmony, typography, and accessibility. This distinguishes it from sibling tools that focus on individual aspects, though the verb 'provide' is generic. It communicates the resource and scope well.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies use when a holistic design evaluation is needed, as opposed to the more focused sibling tools. However, it does not explicitly state when to use this tool versus the others, nor does it mention exclusions or prerequisites. Usage context is only tacit.

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

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