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AdsAgent — Google Ads MCP

google_ads_portfolio_target_update_prepare

Prepare to change a shared portfolio CPA or ROAS target for the complete explicitly listed set of affected campaigns. Saves a private draft after Google validate-only and a complete affected-resource snapshot; does not send the change. The confirmation tool is google_ads_portfolio_target_update_confirm; execution requires the user’s agreement in the conversation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYes
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

A4.5/5.0
Behavior5/5

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

Annotations only state readOnly=false, destructive=false, openWorld=false. The description adds substantive behavior beyond that: it runs Google validate-only, takes a complete affected-resource snapshot, saves a private draft, and does not send the change. For a mutation tool this is exactly the side-effect disclosure an agent needs.

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?

Three sentences, all informative, with the action and the non-execution guarantee front-loaded. Slightly dense but no filler; each sentence carries a distinct fact (action, behavior, gating).

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 prepare tool with no output schema, the description covers the workflow, what is stored, and the confirm gating. It leaves unstated what the returned draft/lookup handle looks like and the role of connection_context, which is a minor gap.

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%, so the description must carry weight. It does add some meaning (CPA vs ROAS target, the complete explicitly listed campaign set), but it never explains strategy_id, the numeric range constraints, or how body members interact. The nested schema's enums/patterns do much of the work, leaving baseline 3.

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+resource+scope: 'change a shared portfolio CPA or ROAS target for the complete explicitly listed set of affected campaigns.' It is cleanly distinguishable from its prepare/confirm siblings (e.g. google_ads_bidding_update_prepare) because both the resource and the staged nature are named.

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?

Explicitly names the follow-up tool (google_ads_portfolio_target_update_confirm) and states the gating condition: 'execution requires the user's agreement in the conversation.' The two-phase workflow and its prerequisite are stated, not inferred.

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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