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davidmosiah

Google Ads MCP Unofficial

Get Account Performance

google_ads_get_account_performance
Read-onlyIdempotent

Retrieve aggregate performance metrics for your Google Ads customer account, including impressions, clicks, cost, CTR, average CPC, and conversions over a specified date range.

Instructions

Aggregate performance metrics (impressions, clicks, cost_micros, ctr, average_cpc, conversions) for the customer over a date range.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
date_rangeNoPredefined date range supported by Google Ads GAQL.LAST_30_DAYS
customer_idYesGoogle Ads customer id (10 digits). Dashes optional, e.g. '1234567890' or '123-456-7890'.
privacy_modeNoOptional per-call payload privacy override. Defaults to GOOGLE_ADS_PRIVACY_MODE or structured.
response_formatNomarkdown

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okNo
errorNo
privacy_modeNo
Behavior4/5

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

The description adds context beyond the annotations by specifying the metrics (impressions, clicks, cost_micros, etc.) and the date range nature. Annotations already indicate read-only and idempotent, so the description complements them well.

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?

The description is a single sentence that is front-loaded, concise, and free of unnecessary words. It efficiently conveys the tool's function.

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

Completeness4/5

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

With an output schema present, the description does not need to explain return values. However, it could benefit from explicitly stating that it covers the entire account, but the name and context make this clear.

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

Parameters3/5

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

Schema description coverage is 75%, so the baseline is 3. The description does not add significant parameter semantics beyond listing the metrics (which are outputs). Parameters are well-documented in the schema.

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 'aggregate performance metrics ... for the customer over a date range,' which directly indicates the tool's purpose and resource scope. It distinguishes it from campaign or keyword level tools via the name and context.

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?

The description does not explicitly state when to use this tool versus alternatives like get_campaign_performance or get_keyword_performance. While the name implies account-level usage, no direct guidance is provided.

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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