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Brand-System

@brandsystem/mcp

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brand_build_themes

Organize content strategy by defining editorial themes with content intent, target personas, and proof points. Use interview, record, or list modes to build a balanced set of 3-5 themes.

Instructions

Define editorial content themes — the strategic pillars that organize what to write about. Each theme has a content intent (Brand Heat for awareness, Momentum for engagement, Conversion for pipeline), target personas, and proof points. Mode 'interview' guides through 5 questions per theme. Mode 'record' saves (auto-generates ID like THM-001). Mode 'list' shows all themes with intent distribution. Most brands need 3-5 themes balanced across all three intents. Returns theme data and balance analysis.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeNo'interview' returns questions for defining content themes; 'record' writes a theme to strategy.yaml; 'list' returns all current themesinterview
answersNoJSON string with theme data (required when mode='record')
theme_idNoID of theme to edit (for record mode, optional — omit to create new)
Behavior4/5

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

With no annotations, description discloses key behaviors: auto-generates IDs for record mode, returns theme data and balance analysis, and states typical brand needs (3-5 themes). Could mention authentication requirements or mutation effects.

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?

Concise paragraph front-loads purpose, then efficiently breaks down modes, typical usage, and return values. Every sentence adds value with no redundancy.

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 no output schema, description adequately explains return value (theme data and balance analysis) and covers all modes. Provides strategic guidance on theme count and intent balance, making it self-contained.

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 descriptions already cover 3 parameters. Description adds value by explaining mode behaviors, how answers relate to recording, and that theme_id is optional for new themes. Provides context beyond schema.

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?

Description clearly states the tool defines editorial content themes as strategic pillars. It differentiates from siblings by focusing specifically on theme building, with no overlap suggested.

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?

Explicitly explains each mode and their intended use (interview for guidance, record for saving, list for overview). Does not directly compare to sibling tools but provides clear context for when to invoke.

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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