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pixasso_generate_genome

Read-onlyIdempotent

Validate design decisions and compile a machine-readable design-genome.yaml for your project's theme, typography, and colors.

Instructions

Validate design decisions and compile a machine-readable design-genome.yaml specification.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
themeModeYesVisual theme mode.
groundToneYesHex ground tone (e.g. #fbfaf7, #0a0f0d, #000000).
motionFeelNoMotion pacing and easing description.
referencesNoAudited reference sites analyzed via pixasso_fetch_reference.
typographyYes
colorTokensYes
projectNameYesName of the project or app.
dimensionalityNoVisual dimensionality.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.1.1

TDQS

B3.1/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered without the description. The description adds that the output is a compiled design-genome.yaml artifact, but says nothing about validation failure behavior, what happens with incomplete decisions, or how results are returned. Useful context, but thin beyond 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?

A single tight sentence with no filler, and the action chain ('validate' then 'compile') is front-loaded. It is efficient, though arguably under-sized for a tool of this complexity.

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?

For an 8-parameter tool with nested objects, five required fields, and no output schema, one sentence is insufficient. It omits the workflow context (which sibling produces the reference data this tool consumes), the five required inputs, and any description of the resulting YAML so the agent can verify a successful call.

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?

With 8 parameters, nested objects, and 75% schema description coverage, the schema largely documents itself. The description contributes no parameter-level meaning at all — it never mentions required fields (projectName, themeMode, groundTone), the enum choices, or how nested structures like references and colorTokens should be shaped.

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 states two specific verbs ('validate', 'compile') against a named resource ('design-genome.yaml specification'), so the agent knows it produces a concrete artifact from design decisions. It does not, however, differentiate itself from siblings like pixasso_generate_brain or pixasso_generate_test_plan, and the dual validate/compile framing leaves slight ambiguity about which is the primary action.

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?

There is no when-to-use guidance, no statement of prerequisites (e.g. that pixasso_fetch_reference must run first to populate the references array), and no routing to alternatives among the six sibling tools. The agent is left to infer the position of this tool in the pipeline.

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