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locomotive-agency

Google Analytics MCP Server

List links to Google Ads accounts

list_google_ads_links

Retrieves a list of Google Ads accounts linked to a Google Analytics property. Provide the property ID to get the linked accounts.

Instructions

Returns a list of links to Google Ads accounts for a property.

Args: property_id: The Google Analytics property ID. Accepted formats are: - A number - A string consisting of 'properties/' followed by a number

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
property_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It only states that the tool returns a list, but does not mention side effects, read-only nature, pagination, authorization requirements, or performance characteristics. The implicit read-only nature is not made explicit.

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?

The description is concise, consisting of a single sentence and a parameter clarification. It avoids unnecessary details. However, it could be slightly improved by integrating the parameter description inline or making it more readable.

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?

Given the simple input (one parameter) and the existence of an output schema (not evaluated here), the description covers the basic input format. However, it lacks context about the output (beyond 'list'), potential permissions, or how the links are structured. It feels incomplete for an agent that needs to interpret the returned data.

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

Parameters4/5

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

The schema coverage is 0%, meaning the schema itself gives no description. The description adds value by explaining accepted formats for property_id: a number or a string with 'properties/' prefix. However, it does not explain how the property ID relates to Google Analytics accounts or how it is used in the request.

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 clearly states the tool's purpose: 'Returns a list of links to Google Ads accounts for a property.' It uses a specific verb ('list') and a distinct resource ('links to Google Ads accounts'), which differentiates it from sibling tools that deal with account summaries, custom dimensions, or reports.

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?

The description provides no guidance on when to use this tool versus alternatives. It does not mention prerequisites, typical use cases, or when not to use it. For example, it doesn't clarify if this is for viewing existing links before creating/modifying them.

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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