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

GA4 traffic sources

ga4_traffic_sources
Read-only

Traffic breakdown by acquisition channel / source / medium.

Input Schema

NameRequiredDescriptionDefault
daysNolookback window, default 28
limitNomax rows, default 20
dimensionNo"channel" -> sessionDefaultChannelGroup (Direct/Organic Search/...) "source" -> sessionSource (google, facebook.com, ...) "medium" -> sessionMedium (organic, cpc, referral, ...) "campaign"-> sessionCampaignNamechannel
property_idYesGA4 property id

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.5/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true, openWorldHint=true and destructiveHint=false, so the safety profile is covered elsewhere. The description adds nothing on top: no note on rate limits, quota cost, data freshness/latency, or what the default 28-day window implies about results.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

It is a single short fragment with nothing wasted, which is structurally clean. But its brevity comes from omission rather than compression — there is no front-loaded verb or scope statement to orient the agent.

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?

An output schema exists, so return values need no explanation, and the parameter schema is fully documented. Still, for a report tool in a large sibling set, the description omits all routing information and any behavioral context, leaving the agent to rely entirely on structured fields.

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% and every parameter (days, limit, dimension with its channel/source/medium/campaign mapping, property_id) is documented inline in the schema. The description only restates the three dimension values already enumerated there, adding no new meaning; baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The fragment 'Traffic breakdown by acquisition channel / source / medium' identifies the resource (traffic) and the breakdown dimensions, so an agent can infer the report subject. However, it is not a verb-led statement and gives no hint at how this differs from siblings such as ga4_conversions_by_source or ga4_overview, both of which also return source-segmented traffic.

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

Usage Guidelines2/5

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

There is no when-to-use guidance, no mention of prerequisites such as needing a valid GA4 property id, and no naming of alternatives. An agent must guess whether this or ga4_overview / ga4_conversions_by_source is the right call for a given question.

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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