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johnoconnor0

Google Ads MCP Server

by johnoconnor0

google_ads_update_ad_group_status

Update the status of a Google Ads ad group to enabled, paused, or removed using customer ID and ad group ID.

Instructions

Update ad group status (enable, pause, or remove).

Args: customer_id: Customer ID (without hyphens) ad_group_id: Ad group ID status: New status (ENABLED, PAUSED, or REMOVED)

Returns: Success message

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
customer_idYes
ad_group_idYes
statusYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are present, so the description must disclose behavior. It only states 'Update ad group status' with possible values and returns 'Success message'. There is no information on whether the operation is synchronous, reversible, or has side effects (e.g., impact on campaigns). This is insufficient 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.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is very concise and front-loaded, with a clear structure: purpose, args, returns. Every sentence is necessary, though it could be slightly more informative without increasing length significantly.

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

Completeness2/5

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

The description lacks context about when to use this single-update tool versus bulk or other update tools. It also does not describe the output schema (though one exists), just 'Success message'. For a simple tool, more context is needed to avoid ambiguity.

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?

With schema description coverage at 0%, the description compensates by explaining each parameter: customer_id format, ad_group_id as ID, and status with enumerated values (ENABLED, PAUSED, REMOVED). However, it does not clarify if these are the exact allowed strings or provide additional constraints. This is adequate but not excellent.

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?

The description clearly states the tool updates ad group status to enable, pause, or remove. However, it does not differentiate from sibling tools like 'google_ads_bulk_update_ad_group_status' which performs the same action in bulk, leaving the AI agent without guidance on which to choose for a single update.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No usage guidelines are provided. The description lacks information on prerequisites (e.g., ad group must exist), when to use this tool versus alternatives (e.g., bulk update or other update tools), or any constraints. The agent has no context for appropriate use.

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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