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AdsAgent — Google Ads MCP

google_ads_recommendation_dismiss_confirm

Confirm a dismiss-recommendation draft.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
draft_idYes
customer_idYes10-digit Google Ads customer id.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3/5.0
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. 'Confirm' implies a mutating finalization, but the description does not explain consequences, idempotency, permissions, or what happens once the draft is confirmed.

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?

The description is a single concise sentence with no filler, and the core action is front-loaded. It is appropriately brief for a simple two-parameter tool.

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?

For a confirmation/mutation tool with no output schema and no annotations, this description is too minimal. It omits workflow context, expected result, and any prerequisite relationship between the draft and customer.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 50%, with only customer_id documented. The description adds no parameter-level meaning and leaves draft_id entirely unexplained, so the agent must infer what a draft is and how it relates to customer_id.

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 states a specific action (confirm) and a specific resource (a dismiss-recommendation draft), making the operation clear. It is specific enough to distinguish from the related dismiss_prepare and apply_confirm tools, though it does not explicitly contrast them.

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 phrase 'dismiss-recommendation draft' implies this tool is used after a draft has been prepared, but it does not explicitly say when to use it versus dismiss_prepare or apply_confirm. No exclusions or alternative routing are provided.

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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