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GSCPAP - Google Search Console, GA4, PageSpeed Insights & live SERPs MCP

GA4 engagement by page

ga4_engagement
Read-only

Per-page engagement metrics. Useful for spotting pages that bring traffic but don't keep users.

Returns rows with pagePath, sessions, engagedSessions, engagementRate (0..1), averageSessionDuration (seconds), bounceRate (0..1), eventCount. Sorted by engaged sessions desc.

Input Schema

NameRequiredDescriptionDefault
daysNolookback window, default 28
limitNomax rows, default 20
property_idYesGA4 property id

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=true, so the safety profile is covered. The description adds genuinely useful behavior detail — the returned field list, units (engagementRate 0..1, duration in seconds), and sort order (engaged sessions desc) — but says nothing about pagination, empty-result behavior, or rate limits.

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?

Front-loaded with the purpose, then the use case, then the return shape and sort order — a logical progression with little waste. One minor redundancy is enumerating return fields when an output schema already exists.

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?

For a simple 3-parameter read tool with full schema coverage and an output schema, the description is adequate but leaves gaps: which property_id values are valid and where to get them, what happens with zero-traffic pages, and how it differs from ga4_top_pages. The listed return fields partially duplicate the output schema.

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%, so days, limit, and property_id are already documented in the schema with defaults. The description adds no additional meaning about these parameters (e.g., whether days is a rolling window, or how limit interacts with sorting), 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?

States a specific verb-like outcome ('per-page engagement metrics') tied to a clear resource (pages), so an agent knows it returns page-level engagement rather than traffic. It does not, however, explicitly distinguish itself from close siblings such as ga4_top_pages or ga4_events_by_name, which an agent would have to infer.

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 line 'Useful for spotting pages that bring traffic but don't keep users' gives an implied use case but no explicit when-to-use vs. when-to-use-an-alternative guidance. There is no mention of the sibling tools (ga4_top_pages, ga4_compare_periods) or of prerequisites such as resolving property_id via list_ga4_properties.

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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