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Brand-System

@brandsystem/mcp

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brand_set_logo

Add or replace a brand logo using raw SVG markup, a URL to SVG/PNG, or a base64 data URI. Sanitizes SVG, saves to .brand/assets/logo/, and updates core-identity.yaml for portable embedding.

Instructions

Add or replace a logo in the brand system. Accepts raw SVG markup, a URL to a logo file (SVG/PNG), or a base64 data URI. Use when brand_extract_web missed the logo, extracted the wrong image, or the user provides a logo directly. Sanitizes SVG, saves to .brand/assets/logo/, and updates core-identity.yaml with inline_svg and data_uri for portable embedding. Returns logo preview data.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
svgNoRaw SVG markup to use as the logo
urlNoURL to fetch the logo from (SVG or PNG)
typeNoLogo type: "wordmark" (text-based) or "logomark" (icon/symbol). Default: wordmarkwordmark
data_uriNoBase64 data URI of the logo (e.g., data:image/svg+xml;base64,...)
Behavior4/5

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

Without annotations, the description discloses key behaviors: sanitizes SVG, saves to .brand/assets/logo/, updates core-identity.yaml with inline_svg and data_uri, returns logo preview data. Could mention if overwrite is destructive, but 'add or replace' implies it. Good transparency for a mutation tool.

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?

Four sentences, each earning its place: purpose, input methods, usage guidance, processing details. Front-loaded with main action. No fluff or 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 the tool's simplicity (4 params, no output schema, no nested objects), the description covers what it does, when to use, what it modifies, and what it returns. No gaps for agent decision-making.

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 parameter descriptions. Description adds context by grouping input methods (SVG, URL, data URI) but does not provide new semantics beyond the schema. Baseline 3 is appropriate.

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 'Add or replace a logo in the brand system' with a specific verb and resource. It differentiates from sibling tool brand_extract_web by mentioning alternative use cases, making the purpose distinct.

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?

Explicitly states when to use this tool: 'Use when brand_extract_web missed the logo, extracted the wrong image, or the user provides a logo directly.' This provides clear context and exclusion criteria.

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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