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raihan675

OpenAI Ads & Conversion Intelligence MCP Server

by raihan675

Update Account Brand Metadata

update_ad_account_brand

Update an ad account's display name or favicon to initiate the automatic brand review required before ads can serve.

Instructions

Updates the ad account display name or assigns a brand favicon file_id, triggering an automatic brand review required for ad serving.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoUpdated account display name
favicon_file_idNoFile ID uploaded with purpose: 'account_favicon' (minimum 128x128 px)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A4/5.0
Behavior3/5

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

With no annotations provided, the description carries the burden of behavioral disclosure. It does disclose an important side effect: triggering an automatic brand review required for ad serving. However, it does not explain whether updates are reversible, how long review takes, or what happens if both parameters are provided or neither is provided.

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?

A single sentence that front-loads the action and includes only essential information. Every clause earns its place, and the consequence is stated without redundancy.

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?

For a low-complexity, two-parameter mutation tool, the description covers what it changes and the key downstream consequence (brand review). It is slightly incomplete in that no return behavior or explicit guidance for an empty update call is given, but the schema and description together are sufficient for most calling decisions.

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%, so the parameters are already fully documented in the input schema. The description adds only the account-level context that updating these fields triggers brand review, not new parameter-level detail.

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 uses a specific verb ('Updates') and names the exact resource and fields ('ad account display name', 'brand favicon file_id'), plus a distinctive consequence (automatic brand review). This clearly separates it from sibling tools like update_campaign or get_ad_account.

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 is evident that this tool is for changing ad account brand metadata, and the brand-review consequence sets expectations for when it should be used. It does not explicitly list when not to use it or name alternatives, but no direct sibling tool competes for this operation.

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