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anacraft — Google Analytics 4

This connector has been deprecated

This is not longer maintained - use the official one

Traffic sources

list_traffic_sources
Read-only

Where traffic arrives from, as GA4's source / medium pairs (google / organic, (direct) / (none), …), ranked by sessions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysNoDays to look back, ending yesterday.
limitNoHow many rows to return.
propertyNoNumeric GA4 property id. Omit to use the saved default.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds useful value semantics about what the rows look like (source / medium pairs, ranked by sessions, with examples), but says nothing about freshness, pagination, or coverage that isn't already in the schema's days description.

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 front-loaded sentence that leads with the resource and ranking, then supplies concrete example values to make the output format unambiguous. No wasted clauses, though the conversational 'Where traffic arrives from' opener is slightly indirect.

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?

For a simple three-parameter read with no required inputs and no output schema, the description adequately conveys the return content and ordering, which is what an agent most needs. The remaining gap is disambiguation from overlapping list_* siblings, which is a moderate omission rather than a blocker.

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%, with days, limit, and property each documented in the schema itself. The description adds no parameter-level meaning beyond what the schema provides, 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?

The description names a specific resource (traffic sources), states the exact data shape GA4 source/medium pairs with concrete examples, and states the ranking metric (sessions). It does not explicitly differentiate itself from close siblings like list_referrers or list_countries, so it stops short of a 5.

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 alternatives (list_referrers in particular overlaps conceptually), and no prerequisites or exclusions. The agent must infer from the returned content alone that this is for top-of-funnel source analysis.

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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