google_ads_recommendation_apply_confirm
Confirm an apply-recommendation draft.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| draft_id | Yes | ||
| customer_id | Yes | 10-digit Google Ads customer id. | |
| connection_context | No |
Confirm an apply-recommendation draft.
| Name | Required | Description | Default |
|---|---|---|---|
| draft_id | Yes | ||
| customer_id | Yes | 10-digit Google Ads customer id. | |
| connection_context | No |
Changes observed during successful MCP inspections.
Input schema / properties / connection_contextAdded value: +{
+ "pattern": "^mctx_v1_[0-9a-f]{64}$",
+ "type": "string"
+}Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare destructiveHint=true and readOnlyHint=false, so the safety profile is partly covered. The description adds nothing beyond them: it does not say that confirming commits the recommendation change, whether the confirm is idempotent, or what happens to the draft afterwards.
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?
A single front-loaded sentence with no padding, but the brevity comes at the cost of under-specification rather than efficient information density.
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 destructive two-step write tool with no output schema and partial param coverage, the description omits the prepare dependency, the effect of confirmation, and any error or idempotency behavior an agent would need.
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 coverage is only 33% – only customer_id is documented, while draft_id and the connection_context pattern are bare. The description supplies no parameter meaning at all, so the coverage gap is not compensated.
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?
States a specific verb+resource: confirming an apply-recommendation draft. The word 'apply' distinguishes it from the sibling google_ads_recommendation_dismiss_confirm, though it never mentions the prepare/confirm pairing it belongs to.
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?
No when-to-use guidance, no prerequisites. An agent is not told that draft_id must come from google_ads_recommendation_apply_prepare, nor what distinguishes confirm from prepare.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.