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get_holistic_design_review

Generate a comprehensive design checklist to review web page concepts for accessibility, layout, and typography using expert principles.

Instructions

Returns a comprehensive checklist of all design categories to review a user's concept.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. While it states the tool 'returns' something (implying a read operation), it doesn't address important behavioral aspects like whether this requires authentication, if there are rate limits, what format the checklist uses, or whether the results are cached. For a tool with zero annotation coverage, this minimal description leaves significant behavioral questions unanswered.

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 perfectly concise - a single sentence that directly states what the tool does without any unnecessary words. Every word earns its place: 'Returns' (action), 'comprehensive checklist' (output type), 'all design categories' (scope), and 'to review a user's concept' (purpose). The structure is front-loaded with the core functionality.

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 context of 11 sibling tools providing various design guidance, this description is incomplete. It doesn't explain how this 'holistic' tool relates to the specific guidance tools, what makes it 'comprehensive,' or what format the checklist returns. With no output schema and no annotations, the description should provide more context about the return value and behavioral characteristics to compensate for the missing structured information.

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

Parameters4/5

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

The tool has zero parameters, and the schema description coverage is 100% (though trivial since there are no parameters). The description appropriately doesn't waste space discussing nonexistent parameters. A baseline of 4 is appropriate for zero-parameter tools where the schema fully documents the empty parameter set.

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's purpose with a specific verb ('Returns') and resource ('comprehensive checklist of all design categories'), making it easy to understand what the tool does. However, it doesn't explicitly distinguish this tool from its siblings, which all provide various types of design guidance. A perfect score would require clarifying how this 'holistic review' differs from the more specific guidance tools.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus its many siblings. With 11 other design guidance tools available, the agent receives no indication whether this should be used first, last, or instead of specific tools like 'get_design_principles' or 'get_component_guidance'. The description implies a 'comprehensive' scope but doesn't specify relationships to the more focused tools.

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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