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build_brand_kit

Populate a brand kit with core brand identity, social media links, and visual style. Uses web extraction data to auto-fill fields or allows manual entry.

Instructions

Populate a brand kit (canonical schema)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNoBrand kit UUID (GET only).
brandNoCore brand identity.
styleNoVisual identity sub-document. Versioned independently via `schema_version`. Sub-fields permit unknown keys for forward-compat (motion tokens, dark-mode palette, etc.)
versionNoEnvelope schema version. `1` = legacy kit, `2` = canonical V2. Server-stamped. Client values in POST are ignored.
brand_idYesBrand kit UUID
extract_refNoHandle returned by `web_brand_extract` (as the `_extract_ref` field). When set, the agent runtime fetches the cached extraction and fills missing `brand` (name, description, website) and `social_links` fields before forwarding to the API. Explicit fields on the request override the inflated values. `style` is NOT auto-filled — the agent constructs that payload from the slim extract data. This field is consumed by the apikit pre-hook and is never forwarded to the API itself.
social_linksNoSocial media and web presence links.
Behavior2/5

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

No annotations provided. Description does not mention side effects (mutation, creation, idempotency), required permissions, or response behavior. Schema has readOnly hints but tool description adds no behavioral context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Single sentence is concise but omits essential details. Not front-loaded; lacks distinction or context, making it insufficient for correct invocation.

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

Completeness2/5

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

Tool has 7 parameters, nested objects, and no output schema. Description is too minimal to provide complete understanding of how to use it, e.g., role of extract_ref, whether it creates or updates, or expected return format.

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 description coverage is 100%, so each parameter is documented in the schema. Tool description adds no extra meaning beyond what the schema already provides.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

Description says 'Populate a brand kit (canonical schema)'. The verb 'populate' is somewhat specific, but unclear whether it creates or updates. Parenthetical hints at schema but doesn't distinguish from siblings like create_brand_kit or get_brand_kit.

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?

No guidance on when to use this tool vs alternatives. Siblings include create_brand_kit, get_brand_kit, list_brand_kits, import_brand_kit_modules, but description provides no context for 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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