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johnoconnor0

Google Ads MCP Server

by johnoconnor0

google_ads_campaign_performance

Retrieve key performance metrics for Google Ads campaigns, including cost, clicks, impressions, conversions, and CTR, with filtering by status and cost thresholds for a specified date range.

Instructions

Get comprehensive performance metrics for campaigns.

Retrieves key performance indicators including cost, clicks, impressions, CTR, conversions, and more for campaigns in the specified date range. Supports filtering by status and cost thresholds.

Args: customer_id: Customer ID without hyphens (e.g., '1234567890') date_range: Predefined date range (TODAY, YESTERDAY, LAST_7_DAYS, LAST_14_DAYS, LAST_30_DAYS, THIS_MONTH, LAST_MONTH, LAST_90_DAYS) campaign_status: Filter by status list e.g. ['ENABLED', 'PAUSED'] min_cost: Minimum cost filter in currency units limit: Maximum number of campaigns to return (1-100) response_format: Output format: 'markdown' or 'json'

Returns: Campaign performance data with metrics and analysis

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
customer_idYes
date_rangeNoLAST_30_DAYS
campaign_statusNo
min_costNo
limitNo
response_formatNomarkdown

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no annotations provided, the description carries full burden. It clearly indicates a read-only operation ('Get metrics') but lacks details on authentication, rate limits, or what happens on error. As a read tool, it is adequate but not comprehensive.

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 fairly concise with a clear intro and structured Args section. It could be slightly tighter, but the format is helpful and not verbose.

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?

Given that an output schema exists, the description does not need to explain return values. All parameters are documented, and the tool's purpose is clear. However, it lacks context on error handling or edge cases, which keeps it from a 5.

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?

Despite 0% schema description coverage, the description includes an Args section that explains each parameter in detail, including format for customer_id, predefined date_range options, campaign_status as list, min_cost as number, limit range, and response_format choices. This adds significant meaning beyond 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 the tool's function: 'Get comprehensive performance metrics for campaigns.' The verb 'Get' and resource 'performance metrics for campaigns' are specific and distinct from sibling tools like google_ads_account_performance or google_ads_campaign_comparison.

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 implies the tool is for retrieving campaign performance but does not explicitly state when to use it over alternatives or provide exclusions. The sibling list exists but no differentiation is given.

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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