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LucasSantana-Dev

Google Ads MCP

apply_recommendation

Apply a Google Ads recommendation by specifying the customer account and recommendation resource name. Preview changes before confirming the application.

Instructions

Apply a recommendation (e.g. add a keyword, raise a bid).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
confirmNoIf False, preview only. If True, apply.
customer_idYesCustomer account ID (must be in allowlist).
recommendation_resource_nameYesFull resource name from get_recommendations.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations provided, so description must fully disclose behavior. It mentions preview vs. apply mode (via 'confirm' parameter) but does not describe side effects, reversibility, or permissions needed.

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?

Single sentence, front-loaded with verb and purpose, no redundant words.

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?

Given low complexity (3 parameters, output schema exists), description covers core functionality. Lacks details on return values or error handling, but adequate for basic use.

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% and parameter descriptions are clear. The description adds only a generic example, not enhancing understanding beyond schema.

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?

Description clearly states the action ('Apply a recommendation') and provides examples ('add a keyword, raise a bid'). It distinguishes from sibling tools like 'dismiss_recommendation' and 'get_recommendations'.

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?

No explicit when-to-use or when-not-to-use guidance. The example implies context but lacks clarity on prerequisites or when to prefer this over alternatives.

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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