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Google Analytics Top Pages

google_analytics_get_top_pages

Retrieve highest-trafficked landing pages, page titles, visitor count, views, and dwell time from GA4 to find high-performing content.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysNoLookback period in days
limitNoMax pages to return
propertyIdNoOptional GA4 property ID

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.1/5.0
Behavior1/5

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

The description says 'Retrieve', which describes a read-only get, while the annotations set readOnlyHint=false. That is a direct conflict about whether the tool mutates state; an agent trusting the annotation will treat a pure read as a potential write, and the description does nothing to resolve it.

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?

A single well-formed sentence that front-loads the verb and resource, then packs the returned metrics and purpose without filler. Efficient and readable, though dense enough that the usage condition is buried at the end.

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?

With no output schema, the description usefully enumerates the returned metrics (page titles, visitor count, views, dwell time), and all three inputs are covered by the schema. The remaining gap is the unresolved read/write signal caused by the annotation mismatch.

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?

Schema description coverage is 100% (days, limit, propertyId all documented with defaults and bounds), so the schema does the parameter work. The description adds no parameter meaning (e.g., that propertyId defaults to a linked property, or how days/limit affect results), so the baseline 3 applies.

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?

Specific verb ('Retrieve') plus resource ('highest-trafficked landing pages') and source ('from GA4'), with the returned fields enumerated. It is clearly distinguishable from the GA4 overview/realtime/traffic-sources siblings, though it never names the closest ambiguous relative, google_search_console_get_top_pages, which also returns 'top pages'.

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 trailing purpose clause ('to find high-performing content') implies when the tool is useful, but there is no explicit when-to-use versus alternatives, no prerequisites, and no exclusions among the many analytics/SEO siblings. Usage is only inferable.

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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