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Frontend stack pipeline

frontend_stack_pipeline

Returns the frontend build pipeline and style menu as markdown for starting website, landing page, UI, or redesign builds. Includes audit, style, build, review, verify, and perf phases.

Instructions

Returns the frontend build pipeline (audit, one style, taste floor, build, review, verify, perf) and the style menu as markdown. Call it at the start of any website, landing page, UI, or redesign build.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.9/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full behavioral burden. It usefully discloses the return format (markdown) and the exact stages returned, but says nothing about read-only nature, side effects, or whether the pipeline is static – reasonable inference covers some of this, but not all.

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?

Two sentences, both earning their place: the first specifies the payload, the second the invocation timing. The content is front-loaded with no filler.

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

Completeness4/5

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

With no output schema and no annotations, the description must convey the return value, and it does list the pipeline stages and the markdown format. It stops short of describing how the style menu is structured or how the pipeline relates to the sibling tools.

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 takes zero parameters, so there is no parameter semantics to document; the baseline for a parameterless schema is 4.

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?

States a specific verb ('Returns') and resource (the frontend build pipeline plus the style menu), and enumerates the pipeline stages so the agent knows the payload shape. It does not explicitly distinguish itself from the sibling list_styles, whose territory overlaps with 'the style menu'.

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?

'Call it at the start of any website, landing page, UI, or redesign build' gives a clear triggering condition for the agent. There is no statement of when-not to use it or an explicit pointer to the alternatives list_styles and verify_page.

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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