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AdsAgent — Google Ads MCP

google_ads_responsive_search_ad_create_confirm

Confirm an RSA-create draft.

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. First observed

TDQS

C2/5.0
Behavior2/5

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

Annotations supply the safety profile (readOnlyHint=false, destructiveHint=false, openWorldHint=false), so the description carries a lower burden, but it still adds nothing: it never states that 'confirm' executes a previously prepared draft, that the operation is a mutation, whether it is idempotent, or what happens on failure. The word 'Confirm' hints at a commit step but the definition does not develop it.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single short sentence is technically concise and front-loaded, but here brevity reflects under-specification rather than economy — the sentence omits essential workflow context instead of eliminating redundancy.

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 mutation tool with no output schema, an undocumented draft_id, and no annotations describing execution semantics, the definition is not complete enough. It omits the prepare→confirm relationship, required permissions, and the effect of the confirmation, all of which an agent needs to invoke it correctly.

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 description coverage is only 33% — customer_id is documented as a 10-digit id, but draft_id and connection_context have no schema descriptions. The description adds no meaning to any parameter, so it does not compensate for the coverage gap; notably it never explains where draft_id comes from (the _prepare call).

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Confirm an RSA-create draft.' is essentially a restatement of the tool name, which already contains the verb ('confirm') and resource ('responsive search ad create'). It gives the agent no information beyond what the name conveys and does not differentiate this from the sibling google_ads_responsive_search_ad_create_prepare, which shares the same resource.

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

Usage Guidelines2/5

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

There is no when-to-use guidance, no statement of prerequisites (e.g., that a draft_id must first be produced by the _prepare tool), and no mention of when-not-to-use or of any alternative sibling. The agent must infer the prepare/confirm workflow entirely from naming conventions.

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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