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HappyMonkeyAI

ai-google-analytics-mcp

provision_project_ga4_setup

Create a GA4 property and web stream, optionally inject gtag script, and save configuration file for project setup.

Instructions

End-to-end: create property + web stream, optionally save .ga4.config.json and inject gtag. If registry_slug is set and GA4_LAUNCHER_REGISTRY_* env is configured, syncs analytics.ga4 metadata.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
timezoneNoEurope/London
account_idYes
project_dirNo
website_urlYes
project_nameYes
registry_slugNo
inject_html_pathNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no annotations, the description carries full burden. It discloses core behaviors (create property + web stream, optional save/inject, conditional sync), but lacks details on idempotency, error handling, or permission requirements. The key behavioral traits are present but not exhaustive.

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 three sentences, front-loaded with the main action, and each sentence adds distinct value (core action, optional steps, conditional sync). No redundancy or unnecessary detail.

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 tool's complexity (7 parameters, output schema present) and the lack of parameter documentation, the description provides a high-level overview but omits important context about parameter roles, return values, and specific use cases. It is adequate for understanding scope but not for precise invocation.

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%, so the description must clarify parameters. Only 'registry_slug' is mentioned in context of sync. Other critical parameters like account_id, project_name, website_url, inject_html_path, and timezone are not explained, leaving the agent to infer from names alone.

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: 'End-to-end: create property + web stream, optionally save .ga4.config.json and inject gtag.' This distinguishes it from sibling tools (e.g., create_web_data_stream, provision_ga4_property) by emphasizing it is a comprehensive setup tool.

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 phrase 'End-to-end' implicitly suggests it should be used for complete GA4 provisioning, but no explicit guidance is given on when to use it over alternatives. The description does not mention exclusions or prerequisites, leaving the agent to infer usage from sibling tool names.

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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