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miguelcc06
by miguelcc06

build_frontend_brief

Read-onlyIdempotent

Create an implementation brief from a product description and constraints, covering stack, components, motion, tokens, responsiveness, and acceptance criteria, with inferences clearly flagged.

Instructions

Build an implementation brief from product_description + constraints: stack, components, motion system, suggested design tokens, responsive behavior, and acceptance criteria. Inferences are marked clearly.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
aestheticsNo
constraintsNo
performanceNo
accessibilityNo
target_frameworkNo
product_descriptionYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Annotations already declare readOnlyHint=true and idempotentHint=true, so the safety profile is covered. The description adds value by noting that inferences are marked clearly, which is a behavioral trait about the output format. No contradiction with annotations.

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

Conciseness4/5

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

The description is a single sentence, front-loaded with the primary verb, and conveys the essential information without redundancy. The list of output contents is slightly dense but does not include filler.

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

Completeness3/5

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

The tool has an output schema, so return format is covered. However, the description does not explain the role of optional parameters or how they influence the brief, and it lacks differentiation from sibling tools. It is adequate but has clear gaps in parameter semantics and usage boundaries.

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

Parameters2/5

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 for parameter meanings. It only references product_description and constraints, leaving aesthetics, performance, accessibility, and target_framework unexplained. This provides little value beyond the schema's bare parameter names.

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

Purpose5/5

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

The description clearly states the tool's action ('Build an implementation brief') and resource, with a specific list of contents (stack, components, motion system, design tokens, etc.). This distinguishes it from sibling tools like search_frontend_knowledge or recommend_frontend_stack, which focus on discovery or recommendations rather than building a brief.

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

Usage Guidelines4/5

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

The description implies a clear use case: generate a brief from product_description and constraints. It provides context but does not explicitly mention when not to use it or name alternatives. While no exclusions are stated, the clear input conditions are sufficient to guide usage.

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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