Colour Memory

by app.railway.up.colour-memory-api-production

Compare Two Colours — Perceptual and Cultural

colour_compare

Read-only

Deep perceptual and semantic comparison between any two hex values. Returns quantified differences in LRV, chroma, hue angle, warmth, and CIEDE2000 distance, plus cultural context on both — which is more authoritative, more saturated, more stable under different illuminants, and what each has historically signified. Use when choosing between two colours or explaining why one works better than another. Not a harmony tool — this is a decision and reasoning tool.

Input Schema

TableJSON Schema

Name	Required	Description	Default
`hex_a`	Yes	First colour hex e.g. '#003366'
`hex_b`	Yes	Second colour hex e.g. '#1877F2'

Output Schema

TableJSON Schema

Name	Required	Description	Default
No arguments

TDQS

A4.5/5.0

Behavior4/5

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

The annotation readOnlyHint=true already discloses non-destructive behavior. The description adds meaningful behavioral context by enumerating the return content — LRV, chroma, hue angle, warmth, CIEDE2000 distance, and cultural context — and notes the tool's decision-support function, going beyond what annotations provide.

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?

Three sentences, front-loaded with the core action, followed by output details and usage guidance. Every sentence contributes distinct information: what it does, what it returns, and when to use it. No filler or repetition.

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

Completeness5/5

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

With a simple 2-parameter interface and an output schema present, the description is fully sufficient. It explains the tool's purpose, output categories, usage contexts, and explicitly rejects the harmony-tool role. An agent can confidently select and invoke this tool without ambiguity.

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 coverage is 100%, with both hex_a and hex_b described and example formats provided. The description phrases them as 'any two hex values,' reinforcing the relationship between parameters, but does not need to add further detail since the schema already carries the semantic load.

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 opens with a specific verb and resource: 'Deep perceptual and semantic comparison between any two hex values.' It lists concrete output dimensions and clearly distinguishes itself from harmony tools with 'Not a harmony tool — this is a decision and reasoning tool,' setting it apart from siblings like colour_harmonies.

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

Usage Guidelines5/5

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

Provides explicit guidance: 'Use when choosing between two colours or explaining why one works better than another.' It also states an exclusion ('Not a harmony tool'), which helps an agent decide against this tool when harmony-related tasks arise.

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

All Colour Memory tools Inspect

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TDQS

A3.7/5.0

Disambiguation2/5

Multiple tool clusters have unclear boundaries: colour_passport, colour_dna, colour_metrics, and colour_cultural_risk overlap heavily; palette_extract, extract_image_colours, image_palette, and ingest_image cover similar image-colour extraction territory; and compound tools like design_session, image_brief, session_brief, and archive_report_brief duplicate chains of component tools. The descriptions are detailed and occasionally state 'use this instead of X', but an agent still faces many near-duplicate choices.

Naming Consistency3/5

Names are consistently snake_case and often use domain prefixes (colour_, palette_, archive_, brand_, accessibility_), but verb placement is mixed: some are verb_noun (extract_image_colours, query_hex, style_match), others are noun_verb (colour_dna, palette_generate, brand_audit), and a few standalone names (ui_states, tool_guide, meta_capabilities) don't fit either pattern. The convention is readable but not uniform.

Tool Count1/5

At 88 tools, this is far beyond the reasonable well-scoped range and exceeds the 50+ extreme mismatch threshold. Many tools are compound wrappers that consolidate chains of simpler tools, adding redundancy and cognitive load rather than genuine coverage.

Completeness5/5

For the apparent domain, the tool surface is extremely comprehensive: colour extraction, analysis, naming, accessibility, cultural/provenance research, palette generation, brand systems, interior design, ecommerce copy, image briefs, project lifecycle, exports, and diagnostic tools are all present. Persistent objects have list/get/versions/delete/export support, so there are no obvious dead ends.

Resources

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