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HappyMonkeyAI

ai-google-analytics-mcp

provision_ga4_property

Create a new Google Analytics 4 property for your project, complete with timezone, currency, and environment settings, under a specified account.

Instructions

Create a new GA4 property for a project under a GA account. account_id: numeric id only (e.g. 12345678) or accounts/12345678.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
timezoneNoEurope/London
account_idYes
environmentNoProduction
project_nameYes
currency_codeNoGBP

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior1/5

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

No annotations provided, so description must cover behavioral traits. It only mentions account_id format (numeric or accounts/). It does not disclose whether the operation is destructive, requires specific permissions, rate limits, or what the response contains. The description fails to provide meaningful behavioral context.

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?

Two sentences effectively front-load the purpose. However, the second sentence could be more structured (e.g., using bullet format). Still, no waste.

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

Completeness1/5

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

Given 5 parameters, no schema descriptions, no annotations, and an output schema that is not referenced, the description is severely incomplete. It fails to explain return values, required permissions, or usage context. A creation tool with multiple parameters needs significantly more detail.

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

Parameters2/5

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

Schema description coverage is 0% (no descriptions in input schema). The description only clarifies the format for account_id, but gives no information about project_name, timezone, environment, or currency_code. Minimal value added beyond parameter names.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states 'Create a new GA4 property for a project under a GA account.' This is a specific verb+resource, but does not distinguish from sibling tools like create_web_data_stream or scaffold_ga4_nextjs_tracking, which could be confused.

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 guidance on when to use this tool vs. alternatives. No prerequisites, when-not-to-use, or context provided. The description only states what the tool does, not when it is appropriate.

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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