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niyogi

chatgpt-ads-manager-mcp

by niyogi

update_ad_account_brand

Update ad account brand metadata for display name, website URL, and preview URL. Fetch existing values first, then apply changes to keep brand information current.

Instructions

Update ad account brand metadata (name, url, etc.). Requires account be enabled for programmatic brand updates or it will 403. Chain after get_ad_account to see current values.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNoBrand website URL (https).
nameNoBrand display name.
preview_urlNoPreview URL or null.
ad_account_idNoOptional ad account ID override.
Behavior3/5

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

With no annotations provided, the description carries the full burden. It discloses the key failure mode (403 if programmatic brand updates are not enabled) and implies a mutating operation. However, it does not explain whether updates are partial or full replacements, what the response contains, or what permissions beyond the account-level flag are required.

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?

Three short sentences, front-loaded with the primary action, followed by the critical prerequisite and a practical sequencing hint. There is no filler or redundant restating of schema details.

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 update tool with no required parameters and no output schema, the description covers the main operational concerns: what is updated, the likely failure mode, and how to inspect current values. It would be slightly stronger if it noted partial-update behavior or the response type, but these are not critical gaps here.

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 schema already documents all four parameters thoroughly. The description adds no parameter-specific semantics beyond saying 'name, url, etc.', and the suggestion to chain after get_ad_account provides indirect context for current values. This matches the baseline for high schema coverage.

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 states a specific verb and resource: 'Update ad account brand metadata (name, url, etc.)'. This clearly distinguishes it from sibling update tools like update_ad_account_negative_keywords, since the target is brand metadata specifically.

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 gives concrete usage context: it requires the account to be enabled for programmatic brand updates, otherwise a 403 will result. It also recommends chaining after get_ad_account to inspect current values. It does not explicitly name alternatives or exclusion cases, but there is no obvious sibling alternative for this operation.

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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