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danishm

mcp-site-analyst

by danishm

ga4_realtime_report

Get real-time active users and metrics from GA4 to monitor site activity over the last 30 minutes.

Instructions

Get real-time active users and metrics from GA4. Shows data from the last 30 minutes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum rows to return
metricsNoRealtime metric names, e.g. ["activeUsers", "screenPageViews"]
dimensionsNoRealtime dimension names, e.g. ["city", "country", "unifiedScreenName"]
propertyIdNoGA4 Property ID. If omitted, uses server-configured default.
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses the 30-minute real-time window, but omits other behavioral details such as whether the operation is read-only, response format, pagination, or permission requirements. Some useful context is added, but not enough for a higher score.

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 two sentences, direct, and front-loaded with the key action and resource. Every word earns its place, with no redundant or vague phrasing.

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 description is adequate for a simple real-time metrics tool, but with no output schema, it could benefit from explaining what the response looks like or any limitations. Still, the combination of description and fully-described parameters covers the essentials.

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?

The input schema has 100% coverage with descriptions for all four parameters, so the baseline of 3 applies. The description does not add additional parameter semantics beyond the schema, which is acceptable given the schema's richness.

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 uses a specific verb ('Get'), identifies the resource ('real-time active users and metrics from GA4'), and adds a clear temporal scope ('last 30 minutes'). This distinguishes it from sibling tools like ga4_run_report, which would handle historical data.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description clearly implies real-time use cases by specifying the 30-minute window, giving an agent context on when to choose this tool. However, it does not explicitly name alternatives or state when not to use it, so it falls short of a 5.

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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