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kLOsk

Google Ads - AdLoop

by kLOsk

Draft pausing an entity

pause_entity

Pause a campaign, ad group, ad, or keyword in Google Ads. Returns a preview for confirmation before applying changes.

Instructions

Draft pausing a campaign, ad group, ad, or keyword — returns a PREVIEW.

entity_type: "campaign", "ad_group", "ad", or "keyword" entity_id format by type:

  • campaign: campaign ID (e.g. "12345678")

  • ad_group: ad group ID (e.g. "12345678")

  • ad: "adGroupIdadId" (e.g. "12345678987654")

  • keyword: "adGroupIdcriterionId" (e.g. "12345678987654")

Call confirm_and_apply with the returned plan_id to execute.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
entity_idYes
customer_idNo
entity_typeYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.9.0

TDQS

A4.4/5.0
Behavior5/5

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

The description transparently discloses the two-phase behavior: it only drafts and returns a preview, and actual execution requires a separate confirm_and_apply call. This goes beyond the annotations by clarifying that the operation is not immediately applied.

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 concise and well-structured, using bullet points for entity types and ID formats. Every sentence serves a purpose and there is no redundant or vague wording.

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?

The description covers the core workflow, input format, and follow-up action, making the tool usable in context. It omits customer_id semantics, but the presence of an output schema and the clear draft/confirm flow keep it reasonably complete.

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?

The description thoroughly explains entity_type and entity_id, including the exact format for each entity type. However, customer_id is not described at all, and since the input schema has no parameter descriptions, this gap is meaningful.

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 that the tool drafts a pause action for campaigns, ad groups, ads, or keywords and returns a preview. It explicitly distinguishes the pause intent from related sibling tools like enable_entity and remove_entity.

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 provides clear context by indicating this is a draft operation that returns a preview and instructs the caller to use confirm_and_apply with the returned plan_id to execute. It does not explicitly contrast with alternatives, but the intended workflow is well implied.

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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