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Generate Heritage Palette from Cultural Concept

palette_concept
Read-only

Generate a historically grounded colour palette from a cultural concept or theme. Returns 4-6 coordinated archive colours with hex values, proportions, and provenance. Examples: 'Victorian mourning', 'Ottoman court', 'Japanese wabi-sabi', 'Scandinavian winter', 'West African kente', 'Renaissance Florence'. Every colour returned is sourced from the archive with documented history. 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
avoidNoColours, pigments or topics to exclude e.g. ['arsenic green']. Applied before selection.
conceptYesCultural theme or historical period e.g. 'Victorian mourning' or 'Ottoman court'
n_coloursNoNumber of colours to return (default 5, max 8)
include_neutralsNoInclude neutral/background colours

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.1/5.0
Behavior5/5

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

Despite readOnlyHint, the description adds critical behavioral guidance: returned colours are archive-sourced with provenance, the result contains rendered downloads that must be shown, and the agent must never present anchor/source colours as recommendations. This goes well beyond annotations and prevents a common misuse.

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 structured: purpose, examples, return contents, customer-facing action, and a caution/follow-up. It is longer than the minimum but each sentence carries meaningful guidance; could trim some repetition around provenance.

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?

The description covers the invocation purpose, output contents, download generation, and follow-up finalization. The only notable gap is an inconsistency: description says '4-6' colours but schema permits up to 8 via n_colours, which could mislead an agent setting the parameter.

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?

Input schema already describes all four parameters (100% coverage), so the description adds little per-parameter meaning; baseline 3 applies. It does offer usage examples for `concept`, but no additional detail on avoid, n_colours, or include_neutrals beyond the schema.

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 action, 'Generate a historically grounded colour palette from a cultural concept or theme', with examples that clarify intended inputs. It doesn't explicitly contrast with sibling palette_heritage or palette_generate, so it falls short of full differentiation.

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?

Provides clear context on when to use, via cultural concept examples, and a direct follow-up rule: call palette_finalize if the agent selects its own final palette. It doesn't state exclusions or when an alternative palette tool should be used instead.

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

A3.8/5.0
Disambiguation2/5

With 88 tools, there is substantial overlap: colour_passport vs colour_dna vs colour_metrics vs colour_cultural_risk are explicit components of the same object; palette_concept vs palette_strict vs palette_generate vs palette_heritage overlap heavily; and four image extraction tools exist (extract_image_colours, image_palette, palette_extact, ingest_image). Although descriptions are detailed and tool_guide exists, an agent will frequently struggle to select the correct tool unambiguously.

Naming Consistency5/5

Nearly all tools follow a consistent snake_case noun_verb or domain-prefixed pattern (colour_*, palette_*, brand_*, archive_*, project_*, accessibility_*). The naming is uniform and predictable, with no mixing of styles or verb conventions across the set.

Tool Count1/5

88 tools is an extreme count for an MCP server. Even honoring the broad domain, the rubric places 50+ at the extreme end, and the high overlap between compound and individual tools suggests many could be consolidated or exposed as sub-resources rather than top-level tools.

Completeness5/5

The tool surface covers the full colour lifecycle: lookup, analysis, palettes, brand systems, accessibility, image extraction, interior design, archival research, reports, PDF generation, and project management. Workflows have clear entry points and few dead ends, and the presence of compound tools further closes integration gaps.

Resources