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Strict Archive-Filtered Palette from Concept

palette_strict
Read-only

Like palette_concept but with archive filtering and relevance controls. Use allowed_archives to restrict results to specific cultural traditions e.g. ['Japan'] for Japanese only. Use min_relevance to filter weak concept matches. Fixes cross-archive drift when cultural specificity matters. The result already carries the rendered palette and its PNG, PDF, ASE, JSON and CSS downloads -- show them to the customer. Never present the archive anchors a colour was derived from as the colours you are recommending. If you go on to choose a final palette OF YOUR OWN from this evidence, call palette_finalize once with those exact colours so the customer can see and download what you actually recommended.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
conceptYesCultural concept e.g. Japanese wabi-sabi
n_coloursNoNumber of colours (default 5)
min_relevanceNoMinimum relevance score 0-1 (default 0.3)
allowed_archivesNoArchive names to restrict results e.g. ['Japan', 'China']
include_neutralsNoInclude neutral tones (default true)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.4/5.0
Behavior4/5

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

With readOnlyHint already covering safety, the description adds meaningful behavior: the result carries rendered palette and downloadable PNG, PDF, ASE, JSON, and CSS assets that should be shown to the customer. It also discloses the important warning not to present archive anchors as recommended colors, and instructs a palette_finalize call if the agent selects its own colors. These go beyond what annotations or schema convey.

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 moderately long but every sentence carries information: comparison, parameter usage, output contents, and agent workflow warnings. It is front-loaded with the key differentiator and ends with essential precautions. There is no filler, though it is denser than the shortest possible version.

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?

Given full schema coverage, a read-only annotation, and an output schema, the description still adds the selection criterion, output expectations, and a concrete downstream action. It references the relevant sibling tool and covers edge behavior by warning against presenting archive anchors as recommended colors. Nothing an agent needs to invoke the tool correctly appears to be missing.

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?

Schema coverage is 100%, so the baseline is 3. The description adds real value by explaining allowed_archives as cultural traditions with the example ['Japan'] and by describing min_relevance as a filter for weak concept matches. Other parameters are already fully described in the schema, so no important gaps remain.

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 states it is 'Like palette_concept but with archive filtering and relevance controls,' giving a clear purpose and distinguishing it from the closest sibling. The title reinforces this as a strict, archive-filtered palette from a concept. An agent can identify what this tool does without opening the schema.

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?

It gives explicit operational guidance: use allowed_archives to restrict to cultural traditions and min_relevance to filter weak matches, and it frames the tool as fixing cross-archive drift when cultural specificity matters. It also names the downstream step, palette_finalize, for when the agent chooses its own final palette. It does not spell out an explicit 'do not use when...' exclusion, but the contrast with palette_cecept is implied clearly enough.

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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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