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Set Agent Onboarding Brand

set_agent_onboarding_brand

oriiion STAFF ONLY. Change the logo, brand colours or fonts on the customer's account (not yours), e.g. after they asked for a change on the brand card. colors.background is the ground the posts are drawn on, colors.text the words on it — the brand card shows exactly that. Black, white or grey is the brand when the website's own background is that colour or the customer says so: keep it. Then send a new brand card so they can approve the result.

Input Schema

NameRequiredDescriptionDefault
fontsNoFont family names, e.g. "Montserrat".
colorsNoHex colours, e.g. "#0A2540".
logoUrlNoA public https URL of the logo image. It is copied to our storage.
onboardingIdYesThe onboardingId from the routine payload.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations cover the safety profile (mutation, non-idempotent, closed-world). The description adds genuinely non-structured context: it acts on the customer's account not the caller's, it is staff-restricted, and it triggers a follow-up brand card for approval.

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?

The staff-only constraint is well front-loaded, but the middle sentences are dense and partially redundant with schema field descriptions, and the stray 'oriiion' token reads as noise. It is usable but not tightly structured.

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

Completeness4/5

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

With no output schema, the description carries the return/side-effect burden and does describe the resulting brand card sent for approval. Combined with the mutation annotations, an agent has enough to call this correctly, though alternatives to the sibling brand tool remain unaddressed.

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

Parameters4/5

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

Schema coverage is 100%, so baseline is 3, but the description goes beyond the schema by explaining what colors.background and colors.text represent (the ground vs. the words on it) and by giving a rule for when black/white/grey counts as the brand.

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

Purpose4/5

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

States a specific verb and resource ('Change the logo, brand colours or fonts on the customer's account') and adds a useful scoping disambiguation ('not yours'). It does not, however, distinguish itself from the close sibling set_brand_identity, which an agent could plausibly confuse it with.

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?

Gives a concrete trigger ('after they asked for a change on the brand card') and an authorization gate ('oriiion STAFF ONLY'). It stops short of naming alternatives such as set_brand_identity, so the routing decision is only partly resolved.

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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