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AdsAgent — Google Ads MCP

google_ads_conversion_action_create_confirm

Destructive

Confirm one prepared WEBPAGE conversion-action 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

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=false and destructiveHint=true, so the agent knows this is a mutating operation, and 'Confirm' is consistent with that. The description adds the draft-confirmation concept but says nothing about what actually gets created, whether the operation is idempotent, or permission requirements.

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?

A single tight sentence with the verb and object front-loaded and no filler. It is arguably under-specified rather than verbose, but as pure structure it is clean.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description should say more about the outcome of confirming (what is created, what happens to the draft) and the required upstream prepare step. Annotations carry the safety profile, but the workflow context is thin for a destructive write tool.

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 coverage is only 33%: only customer_id is documented. The description alludes to a 'draft' (hinting at draft_id) but does not explain draft_id's origin or what connection_context is, so it fails to compensate for the coverage gap.

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

Purpose4/5

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

States a specific verb (Confirm) and resource (WEBPAGE conversion-action create draft), and the word 'prepared' plus 'draft' implicitly ties it to the prepare sibling. It is distinguishable from google_ads_conversion_action_create_prepare, but it never names that sibling explicitly.

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

Usage Guidelines3/5

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

'Confirm one prepared ... draft' implies the two-step prepare/confirm workflow, but does not explicitly instruct the agent to call google_ads_conversion_action_create_prepare first or state when this tool should not be used. Usage is inferred rather than stated.

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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