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Colour Memory

by io.github.DigbyO

List Your Durable Projects

project_list
Read-only

List durable house projects owned by the calling API key, most recently updated first. Anonymous (keyless) calls always return an empty list -- temporary anonymous projects are never listable, only resolvable directly by their house_ref. Requires an API key.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax projects to return, default 50, capped at 200.
cursorNoOpaque pagination cursor -- pass the previous response's next_cursor to get the next page.
project_typeNoFilter by project type, e.g. 'house'. Omit for all types.
updated_sinceNoISO 8601 timestamp -- only return projects updated after this time.
include_deletedNoInclude soft-deleted projects (still owner-scoped). Default false.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.7/5.0
Behavior5/5

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

Beyond the readOnlyHint annotation, the description adds meaningful behavioral details: anonymous calls return empty, durable vs temporary distinction, and the need for an API key. This goes well beyond annotations and helps the agent anticipate outcomes without making a call.

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 three sentences long, front-loaded with the core purpose in the first sentence. Every subsequent sentence adds essential behavioral or auth context without repetition or fluff.

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 the tool has a rich output schema and fully documented parameters, the description covers the key aspects: scope, ordering, anonymous behavior, and auth requirements. No critical gaps remain for selecting and invoking the tool correctly.

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?

All five parameters have rich descriptions in the schema (100% coverage), so the description adds no additional parameter-level meaning. The baseline of 3 applies since the schema does the heavy lifting and the description doesn't need to compensate.

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 clearly states the tool lists durable house projects owned by the calling API key, with ordering by most recent update. It also distinguishes this from anonymous temporary projects, which are never listable, effectively differentiating it from sibling tools like project_get and project_delete.

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?

The description explicitly warns that anonymous (keyless) calls return an empty list and that temporary anonymous projects are only resolvable directly by house_ref, implying the alternative tool. It also states that an API key is required, giving clear when-to-use and when-not-to-use guidance.

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