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Saved brand profile

brand_profile

Save or read a seller's brand voice, products, prices, order link, colours and logo so generated content and sales pages fill in automatically without repeating details.

Instructions

Save or read the seller's brand profile in Quarter4 Cloud (needs connect): voice, products with real prices, order link, colours and logo. Saved details fill in content_kit and sales pages automatically, so the seller does not repeat them. Logo and colours on graphics are a Pro feature. Only save prices the seller gave you.

Input Schema

NameRequiredDescriptionDefault
actionYes
profileNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.6.0

TDQS

A4/5.0
Behavior4/5

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

Beyond the annotations it discloses a real auth dependency ('needs connect'), a plan-level gate (logo and colours on graphics are Pro), a data-integrity rule ('only save prices the seller gave you'), and downstream side effects on other tools. The notable gap is save semantics — it never says whether saving replaces or merges an existing profile, which matters for a tool with readOnlyHint=false.

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 purpose and prerequisite are front-loaded in the first sentence, and each following sentence carries a distinct operational fact (downstream reuse, Pro gating, price accuracy). It is dense but every sentence earns its place; a slightly tighter grouping of the constraints would make it a 5.

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?

For a dual-mode tool with a deeply nested schema and no output schema, the description covers collection guidance and gating but leaves two consequential gaps: what 'get' returns and whether 'save' overwrites or merges existing data. Adequate for invocation, incomplete for confidently handling the write path.

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?

Top-level schema description coverage is 0%, but the description compensates partially by naming the profile facets to collect (voice, products with real prices, order link, colours, logo) and tying logo/colour to Pro. It does not clarify the action enum's behaviour — e.g. that 'get' requires no profile object or what 'save' does with omitted fields — so it adds only moderate meaning beyond the schema, which already documents the nested fields.

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 opening sentence names both verbs (save/read), the exact resource (the seller's brand profile in Quarter4 Cloud), and enumerates the payload (voice, products with prices, order link, colours, logo). It also distinguishes this tool from the siblings that consume the data (content_kit, sales pages), so an agent can place it in the workflow without opening the schema.

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?

It states the prerequisite ('needs connect') and the reason to use it ('saved details fill in content_kit and sales pages automatically, so the seller does not repeat them'), which gives clear context for calling it ahead of content generation. It stops short of explicit exclusions or a 'read before you save' instruction, so it is clear context rather than a full when/when-not guide.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.