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brand_build_personas

Create buyer personas via a structured 7-question interview covering role, tensions, objections, and channels. Switch between interview, record, and list modes to define audience profiles.

Instructions

Build buyer personas through a guided 7-question interview — role, core tension, objections, information needs per journey stage, narrative emphasis, preferred channels, and decision authority. Mode 'interview' returns structured questions for agent-guided conversation. Mode 'record' saves a persona to strategy.yaml (auto-generates ID like PER-001, accepts JSON or freeform text via parseAnswers). Mode 'list' shows all personas with status. Writes to .brand/strategy.yaml. Bumps session counter to 4 on first write. Most brands need 3-5 personas. Part of Session 4 (content strategy). Use when the user says 'define personas', 'who is our audience', or 'start Session 4'. NOT for defining voice — use brand_compile_messaging (Session 3). Returns persona data and total count.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeNo'interview' returns questions for building a new persona; 'record' writes persona data to strategy.yaml; 'list' shows all existing personasinterview
persona_idNoID of persona to update (for record mode, e.g. 'PER-001'). Omit to create a new persona.
answersNoJSON string with persona fields (for record mode)
Behavior4/5

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

Despite no annotations, the description discloses key behaviors: it writes to .brand/strategy.yaml, auto-generates persona IDs, bumps a session counter, and indicates typical needed count (3-5). It could mention whether writes are destructive or reversible, but the given details are strong.

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?

Every sentence adds value: purpose, modes, side effects, usage triggers, exclusions. It is front-loaded with the core function and uses efficient, specific language. No wasted words.

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, the description includes what is returned ('persona data and total count'). It covers inputs, outputs, side effects, and context (Session 4). It is fully self-contained for an agent to use correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema already describes all three parameters (100% coverage), but the description adds significant value: it explains the purpose of each mode, the auto-ID generation, and that record mode accepts JSON or freeform text. This goes well beyond the 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?

The description clearly states the tool builds buyer personas via a guided interview, names three modes (interview, record, list), and distinguishes it from the sibling tool brand_compile_messaging. The verb 'build' plus resource 'buyer personas' is specific and informative.

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 provides trigger phrases ('define personas', 'who is our audience', 'start Session 4') and tells when NOT to use it (for voice, pointing to brand_compile_messaging). This provides clear guidance for tool selection.

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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