Skip to main content
Glama

coeus_frontend_taste_direction

Defines non-generic frontend taste direction for a project before component creation, using audience, constraints, and originality targets to guide design.

Instructions

Define non-generic frontend taste direction; pipeline step 2 before component creation

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modelNoModel
projectYesProject
audienceNoAudience
workflowNoWorkflow
constraintsNoConstraints
brand_constraintsNoBrand constraints
originality_targetsNoOriginality targets

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.1.0

TDQS

A3.5/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of disclosing behavior. It mentions pipeline position and the goal of being 'non-generic,' but it does not describe what the tool produces, whether it persists anything, what side effects it has, or what the returned artifact looks like.

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 sentence with no filler. The core action is front-loaded, and the 'pipeline step 2 before component creation' clause adds meaningful context without increasing length unnecessarily.

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 description is minimally adequate: it states what the tool does and where it fits in the pipeline. However, there is no output schema and no annotation coverage, and the description does not explain what the 'taste direction' output should contain, how to interpret success, or how this step relates to the surrounding design pipeline tools.

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 the parameter names and one-word descriptions already carry the semantic load. The description adds no parameter-specific detail, which is acceptable under the baseline, but it also does nothing to enrich the meager param descriptions like 'Constraints' or 'Originality targets.'

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 uses a specific verb ('Define') and a specific resource ('frontend taste direction'), and adds pipeline context ('step 2 before component creation') that helps an agent place it in a workflow. It does not explicitly differentiate it from related siblings like coeus_frontend_design_brief or coeus_ui_asset_sources, so it falls just short of a 5.

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 phrase 'pipeline step 2 before component creation' gives a clear temporal condition for when to invoke this tool. It does not name alternative tools or state when not to use it, but the pipeline sequencing provides usable guidance.

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