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HappyMonkeyAI

ai-google-analytics-mcp

render_ga4_nextjs_component

Generates a Next.js client component to load GA4 gtag using an environment variable or inline measurement ID, with optional consent gating.

Instructions

Return a Next.js client component (next/script) for GA4. mode: env (read NEXT_PUBLIC_GA_MEASUREMENT_ID) or inline (embed id). consent_gated: only load gtag after localStorage cookie consent is accepted.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeNoenv
consent_gatedNo
measurement_idYes

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 discloses that the tool returns a component and explains parameter behaviors, but omits details like side effects, permissions, or response format. The output schema exists, partially mitigating the lack of return-value description.

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?

Extremely concise: two sentences, front-loaded with purpose, then param details. Every word earns its place. No fluff. Ideal for quick agent consumption.

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 the tool's low complexity and the presence of an output schema (which defines return structure), the description is almost complete. It covers all params and the core behavior. Minor gaps: no mention that it requires a Next.js project or that the component is a string/JSX, but these are implied by the context.

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

Parameters4/5

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

Schema has 0% description coverage, so description must compensate. It explains 'mode' (env vs inline) and 'consent_gated' (localStorage condition) in plain language. 'measurement_id' is not detailed but is self-explanatory. The description adds meaningful context beyond the schema's property names.

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 it returns a Next.js client component using next/script for GA4, with explicit distinction from sibling tools like render_ga4_gtag_snippet (which produces a snippet) and inject_ga4_gtag_into_file (which injects into existing code). The verb 'return' and resource 'Next.js client component' are specific and unambiguous.

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 a Next.js component is needed, but lacks explicit guidance on when NOT to use it or comparison to alternatives. Sibling tools like render_ga4_gtag_snippet and inject_ga4_gtag_into_file exist, but no direct usage boundaries are set.

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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