google_ads_conversion_action_update_confirm
Confirm one prepared WEBPAGE conversion-action update draft.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| draft_id | Yes | ||
| customer_id | Yes | 10-digit Google Ads customer id. |
Confirm one prepared WEBPAGE conversion-action update draft.
| Name | Required | Description | Default |
|---|---|---|---|
| draft_id | Yes | ||
| customer_id | Yes | 10-digit Google Ads customer id. |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full responsibility for behavioral disclosure. It only says 'Confirm', which likely means the prepared update is executed, but it does not state whether this is an irreversible mutation, whether it requires special permissions, what the receipt looks like, or what happens to the draft after confirmation. This is a significant transparency gap for a mutation tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is one short, front-loaded sentence with no filler. It communicates the core action and object efficiently. The brevity is a strength in structure, though it leaves behavioral details to be covered elsewhere.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple two-parameter tool, the description is still incomplete: it does not explain prerequisites, side effects, return behavior, or how to proceed after confirmation. With no output schema and no annotations, an agent is left to infer critical execution semantics from the name and the terse description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is only 50% (customer_id has a description, draft_id does not), and the description adds no parameter-level meaning. It mentions 'prepared ... draft', which loosely maps to draft_id, but it does not explain how to obtain the draft_id or what customer_id means beyond the schema's own one-line description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific verb and resource: 'Confirm one prepared WEBPAGE conversion-action update draft.' It clearly identifies the action and the object, and the 'prepare/confirm' terminology makes the stage evident. It does not explicitly distinguish itself from sibling confirm tools, but the resource scope is specific enough for an agent to identify the right tool.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The word 'prepared' implies this tool should be used after a preparation step, and the sibling list contains google_ads_conversion_action_update_prepare, making the workflow inferable. However, there is no explicit guidance about when to use this tool versus alternatives, nor any warning against confirming an unprepared or already-confirmed draft.
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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