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Opus Growth, Ad Platforms MCP Connector

Google Ads Accounts

list_accounts
Read-only

Lists the user's connected Google Ads account(s). Returns only the account(s) the user selected at connect time; the response carries default_account_id. all_accessible=true returns every account the credential can reach, which also expands client accounts under MCC (manager) accounts. platform is optional and defaults to Google Ads; naming another connected platform (meta | tiktok | linkedin | microsoft | ga4 | search_console | youtube | business_profile) returns the name of that platform's own account-listing tool instead.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
platformNo
all_accessibleNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / platform
      Added value: +{
      +  "default": "",
      +  "type": "string"
      +}
  2. First observed

TDQS

A4.6/5.0
Behavior4/5

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

Annotations already mark the tool readOnly and non-destructive; the description adds the key behavioral facts beyond that: the response carries default_account_id, all_accessible expands under MCC, and platform has a default-and-redirect behavior. No contradiction with annotations.

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

Conciseness5/5

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

Every clause earns its place: core purpose, default scope, the all_accessible toggle, and platform routing are each specified once with no filler. Information is front-loaded, with the most essential behavior first.

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

Completeness5/5

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

The definition fully equips an agent to call the tool correctly: both parameters are semantically covered, output schema supplies return shape, and annotations supply safety/open-world context. Nothing needed for invocation is missing, and the cross-platform routing prevents misuse.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema coverage, the description carries the full burden for both parameters. It explains platform's optional/default nature, enumerates accepted platform values, and clarifies all_accessible=false/true semantics, including MCC client expansion.

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?

The description opens with a specific verb and resource: 'Lists the user's connected Google Ads account(s).' It immediately distinguishes scoped behavior (connected/selected accounts) from all_accessible behavior, and clarifies that naming a different platform redirects to that platform's own tool, so an agent can tell it apart from list_entities and platform-specific siblings.

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

Usage Guidelines4/5

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

It gives clear usage context: default returns only accounts selected at connect time, while all_accessible=true expands to all reachable accounts, including MCC clients. It also explains how to delegate to another platform's account-listing tool, though it does not name sibling tools explicitly or include when-not-to-use exclusions.

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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