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johnoconnor0

Google Ads MCP Server

by johnoconnor0

google_ads_time_performance

Analyze Google Ads performance by hour of day and day of week to identify peak times for ad scheduling.

Instructions

Get performance by hour of day and day of week.

Args: customer_id: Customer ID (without hyphens) campaign_id: Optional campaign ID filter date_range: Date range

Returns: Performance breakdown by time

Example: google_ads_time_performance( customer_id="1234567890", date_range="LAST_30_DAYS" )

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
customer_idYes
campaign_idNo
date_rangeNoLAST_30_DAYS

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It only states it returns a performance breakdown, with no mention of read-only nature, data freshness, pagination, or side effects.

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 extremely concise: one-line purpose, then args, returns, and an example. No unnecessary text, and the purpose is front-loaded.

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?

The tool has an output schema, so return values need not be detailed. However, the description could be more complete about what the time breakdown includes (e.g., metrics). With 3 params and an output schema, it is minimally adequate but lacks depth.

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 0%. The description adds context: customer_id format (without hyphens), campaign_id as optional filter, and date_range as 'Date range'. However, date_range lacks accepted format or examples beyond the default.

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 'Get performance by hour of day and day of week', which specifies the verb (get) and resource (performance with time dimension). This distinguishes it from sibling performance tools like campaign_performance or device_performance.

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?

No explicit guidance on when to use this tool versus alternatives. The description does not contrast with other performance tools or provide when-not-to-use scenarios.

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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