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Generate vector logo and brand kit

generate_logo

Generate a professional vector logo as editable SVG, delivered as a brand kit: the original mark, black and white variants, transparent PNG exports and a color palette measured from the finished artwork. An optional reference can refine an existing identity or provide loose inspiration. Runs asynchronously, so call wait_for_task with the returned id, then download_logo_kit. Costs 8 credits.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptYesCreative brief for the logo
brand_nameNoExact optional brand name; omit for symbol-only
request_idNo
reference_roleNo
reference_image_urlNo
reference_image_base64No

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It does this well by stating that execution is asynchronous, that credits are consumed (8 credits), and that the output must be retrieved via download_logo_kit. It does not mention failure modes, task retention, or auth requirements, but the essential runtime behavior is transparent.

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?

The description is three focused sentences with no filler. It front-loads purpose and deliverables, then adds the reference option, async workflow, and cost. Every sentence contributes necessary invocation information.

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?

For a tool with no output schema, the description covers the full lifecycle: what gets produced, how to consume the result asynchronously, which sibling to call next, and what it costs. It gives an agent enough to invoke the tool and follow through without additional discovery.

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 only 33%, so the description needs to compensate for undocumented parameters. It adds useful meaning for reference_role ('refine' vs 'inspiration') and brand_name (omit for symbol-only). However, it leaves request_id and the reference_image_url/base64 pairing unexplained, and does not clarify whether the image fields are required when a reference_role is set.

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 opens with a specific verb and resource: 'Generate a professional vector logo as editable SVG, delivered as a brand kit.' It enumerates concrete deliverables (mark, black/white variants, PNG exports, color palette), making the tool's purpose unmistakable and clearly distinct from siblings like generate_illustration or vectorize_image.

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?

The description clearly explains the async workflow: call wait_for_task with the returned id, then download_logo_kit. It also explains when an optional reference is appropriate ('refine an existing identity' vs 'loose inspiration'). It does not explicitly name when a sibling tool should be chosen instead, so it stops short of a 5.

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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