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Record a Manual Brand Colour Decision

brand_guideline_select

Records which brand_guideline_specify candidate was chosen, which colours should be locked for future iteration, and which claims should be suppressed -- produces a revised brand_ref (same reference, a new version underneath it, exactly like a versioned house_ref). No accounts or reviewer states yet -- this demonstrates decision-making, not a full approval workflow.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
noteNoOptional free-text rationale, e.g. "Client prefers the quieter system."
brand_refNoThe brand_ref returned by brand_guideline_specify. Supply this OR project_id.
project_idNoThe project_id returned by brand_guideline_specify. Use this after a refinement (a continued project has a project_id but no new brand_ref). Supply this OR brand_ref.
locked_colour_idsNocolour_id values to lock for future iteration.
suppressed_claim_idsNoclaim_id values to suppress (marked superseded).
selected_candidate_idYesWhich candidate_id to make canonical.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already mark the operation as a non-read-only, non-idempotent, non-destructive write. The description adds valuable behavioral detail: it produces a revised brand_ref under the same reference as a new version, like a versioned house_ref, and clarifies there are no reviewer or account states. This complements the annotations without contradicting them.

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 a single dense sentence that front-loads the core action and includes only high-value details such as versioning and the absence of approval states. It is compact and efficient, though splitting it into two sentences would improve scannability.

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?

With an output schema present and all parameters documented, the description does not need to explain return values or individual inputs.The added versioning behavior and the 'not an approval workflow' caveat give enough context for an agent to invoke the tool correctly. Naming an explicit alternative for the approval workflow would make it even more complete.

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?

The schema covers all six parameters with descriptions, including the OR relationship between brand_ref and project_id, so the tool description does not need to repeat them. The description does provide a high-leel grouping of the decision effects, but that mapping is already present in the property descriptions. A baseline score of 3 is appropriate given full schema coverage.

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 identifies the specific verb 'Records' and the precise resource: the brand_guideline_specify candidate, plus the two decision effects (locked colours, suppressed claims). It also differentiates the tool from an approval workflow by saying 'No accounts or reviewer states yet -- this demonstrates decision-making, not a full approval workflow.'

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?

The description positions this as the step after brand_guideline_specify, since the candidate and brand_ref/project_id come from that tool. It also states an explicit exclusion: this is decision-making, not an approval workflow. It does not name a specific sibling to use instead, but the context is clear.

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.

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