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AdsAgent — Google Ads MCP

google_ads_asset_group_link_confirm

Destructive

After explicit approval, link an existing asset to a Performance Max asset group. Accepts only a matching draft from google_ads_asset_group_link_prepare; verifies operation kind, approval integrity and state drift before sending. Uncertain outcomes must be reconciled without replay.

Input Schema

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

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / connection_context
      Added value: +{
      +  "pattern": "^mctx_v1_[0-9a-f]{64}$",
      +  "type": "string"
      +}
  2. Added

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare destructiveHint=true and readOnlyHint=false, so the write/safety profile is covered. The description adds genuinely new context beyond that: approval gating, operation-kind and state-drift verification before sending, and the no-replay reconciliation rule. It stops short of describing what a partial failure leaves behind or the response shape, so not a 5.

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?

Three tight sentences with no filler; the precondition leads and the verification/reconciliation behavior follows. Every clause carries operational weight.

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?

For a destructive confirm tool with no output schema, the description covers approval, input provenance, pre-send validation, and the uncertain-outcome rule. It omits what success returns or how a rejected draft surfaces, which keeps it short of 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?

Schema coverage is only 33%, with customer_id described and draft_id and connection_context bare. The description compensates for draft_id by defining it as a draft produced by the prepare tool, but adds nothing about connection_context or the customer id format beyond the schema. Partial compensation justifies the mid baseline.

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?

States a specific verb and resource ('link an existing asset to a Performance Max asset group') and names the sibling that produces its required input (google_ads_asset_group_link_prepare). An agent can distinguish it from google_ads_asset_link_confirm and the unlink variants without opening any schema.

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

Usage Guidelines5/5

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

Gives an explicit precondition ('After explicit approval'), restricts valid input to a matching draft from the prepare tool, and prescribes behavior for the uncertain-outcome case ('reconciled without replay'). When-to-use, prerequisite, and failure-path guidance are all present.

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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