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johnoconnor0

Google Ads MCP Server

by johnoconnor0

google_ads_bulk_update_ad_status

Update the status of multiple Google Ads in bulk to ENABLED, PAUSED, or REMOVED, saving time on repetitive individual changes.

Instructions

Update status for multiple ads at once.

Args: customer_id: Customer ID (without hyphens) status_updates: List of dicts with 'ad_group_id' and 'ad_id' status: New status for all ads (ENABLED, PAUSED, or REMOVED)

Returns: Success message

Example: status_updates = [ {"ad_group_id": "123", "ad_id": "456"}, {"ad_group_id": "123", "ad_id": "789"} ]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
customer_idYes
status_updatesYes
statusYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations, the description must disclose behavioral traits. It lists allowed status values but omits critical details like authorization requirements, rate limits, partial failure handling (e.g., rollback behavior), and whether the operation is atomic.

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 concise with clear sections (Args, Returns, Example). Every sentence serves a purpose, though the structure could be slightly improved with bullet points for readability.

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

Completeness3/5

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

Given the presence of an output schema and three parameters, the description is mostly complete for basic usage. However, it lacks details on error handling, validation, and post-conditions, making it less than fully comprehensive.

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 0%, so the description adds significant value. It clarifies customer_id format (no hyphens), describes status_updates as a list of dicts with specific keys, and enumerates allowed status values. The example further clarifies usage.

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 clearly states 'Update status for multiple ads at once,' specifying the verb 'update' and the resource 'status for multiple ads.' It distinguishes from siblings like 'google_ads_update_ad_status' (single ad) and 'google_ads_bulk_update_ad_group_status' (ad group status).

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

Usage Guidelines3/5

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

The description implies use for multiple ads but lacks explicit guidance on when to use this tool vs alternatives. No when-not-to-use or alternative tool names are mentioned, relying on the tool name alone for differentiation.

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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