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zhangluka

grain-seo-mcp

by zhangluka

analytics_traffic_sources

Analyze GA4 traffic sources by channel, source, and medium to pinpoint which channels drive the most visits. Use this data to refine your marketing strategy.

Instructions

Analyze traffic sources (Channel, Source, Medium) in GA4

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
propertyIdYesGA4 Property ID
accountIdNoGA4 account ID for multi-account setups
startDateYesStart date (YYYY-MM-DD)
endDateYesEnd date (YYYY-MM-DD)
channelGroupNoFilter by Channel Group (e.g. 'Organic Search')
limitNoMax rows (default 50)
offsetNoStarting row for pagination (0-based)
Behavior2/5

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

No annotations are provided, so the description carries full burden for behavioral disclosure. It only states the analysis action, without indicating that it is read-only, any authentication needs, rate limits, or output characteristics. For a query tool, more transparency is expected.

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?

The description is a single concise sentence with no wasted words. However, it could be slightly expanded to include usage hints without becoming verbose, thus earning a 4.

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?

Given the tool has 7 parameters and no output schema, the description provides insufficient context. It does not explain the return structure, how data is aggregated, or the meaning of the dimensions. The description should be more comprehensive.

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 the schema already describes all parameters adequately. The description adds no extra meaning beyond the schema's own parameter descriptions, meeting the baseline of 3.

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 clear verb 'Analyze' and specifies the resource 'traffic sources' with the relevant dimensions (Channel, Source, Medium). Among numerous sibling analytics tools, this one is uniquely identified for traffic sources, achieving good differentiation.

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?

The description provides no guidance on when to use this tool versus alternatives like 'analytics_content_performance' or 'analytics_time_series'. There is no mention of prerequisites, exclusion conditions, or preferred contexts.

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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