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HappyMonkeyAI

ai-google-analytics-mcp

save_project_ga4_config

Saves GA4 configuration including measurement ID, property ID, website URL, and stream name to a project's root directory for shared reference.

Instructions

Write .ga4.config.json in a project root for agents and humans to reference later.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
extraNo
project_dirYes
property_idYes
stream_nameNo
website_urlYes
measurement_idYes

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 carries full burden. It only says 'write', but does not disclose whether it overwrites an existing file, error handling, permissions required, or side effects. For a mutation tool, this is insufficient.

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 very concise at 14 words in one sentence, but it sacrifices necessary detail. While front-loaded, it doesn't earn its place fully due to lack of parameter or behavioral info.

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

Completeness2/5

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

Given the complexity (6 params, output schema exists), the description is too sparse. It doesn't explain the output (likely file path or success), doesn't clarify that the config is for GA4, and omits important context for a data-writing tool.

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

Parameters1/5

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

The schema has 6 parameters with 0% description coverage, and the description adds absolutely no information about any parameter. The agent is left without guidance on what each parameter means or how to use them.

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 action (write), the resource (.ga4.config.json), and the purpose (for agents and humans to reference later). It distinguishes well from siblings like inject_ga4_gtag_into_file or render_ga4_gtag_snippet which are about code injection, not config writing.

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 usage when saving configuration for later reference, but it does not explicitly state when to use this tool versus alternatives like provision_ga4_property or sync_ga4_to_launcher_registry. No exclusion criteria or context 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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