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zackscriven

ghl-mcp-server-v2

by zackscriven

ghl_brand_board_create

Create a brand board with logos, colors, and fonts for a location to establish a consistent brand identity.

Instructions

Create a new brand board Creates a new brand board with logos, colors, and fonts Endpoint: POST /brand-boards/ (Version header: v3; source: v3/brand-boards-v3.json) OAuth scopes: brand-boards/design-kit.write

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYesRequest body (schema carried verbatim from the official OpenAPI spec).
Behavior3/5

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

Annotations already declare readOnlyHint=false, destructiveHint=false, idempotentHint=false. The description adds endpoint and OAuth scope context, which is useful but does not disclose any behavioral traits beyond what annotations provide. No contradictions.

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 concise (two key sentences plus endpoint/scopes), front-loaded with purpose. No unnecessary words, but the endpoint and OAuth lines could be considered extraneous for an AI agent primarily concerned with functionality.

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

Completeness3/5

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

Given the complexity (nested objects, no output schema), the description is adequate but lacks details about return value, side effects, or validation. The input schema compensates, but the description could better explain what the tool returns.

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 detailed parameter descriptions. The description adds 'with logos, colors, and fonts' which aligns with schema but does not provide additional meaning beyond the schema's own descriptions.

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 'Create a new brand board' and specifies it creates one with logos, colors, and fonts. This is a specific verb+resource, and it distinguishes from sibling tools like ghl_brand_board_create_voice which creates a voice, not a board.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives (e.g., update, delete) or prerequisites. It does not mention when not to use it or reference sibling tools.

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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