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Dweeb1578

Marketing Analytics MCP Server

by Dweeb1578

ga4_landing_pages_by_source

Identify top landing pages grouped by session source, with optional filters for date range, country, and channel.

Instructions

Top landing pages broken out by sessionSource.

Args: start_date: YYYY-MM-DD (default: 28 days ago) end_date: YYYY-MM-DD (default: today) country: Full country name filter (e.g. "United States") channel: Channel filter (e.g. "Organic Search") limit: Max rows (default: 50)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
channelNo
countryNo
end_dateNo
start_dateNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations provided, so description must disclose behavioral traits. It only states the tool returns top landing pages, without mentioning read-only nature, potential rate limits, or any side effects. This leaves the agent without important context.

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

Conciseness5/5

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

Extremely concise: one-line purpose followed by a parameter list with defaults. Every part is necessary and front-loaded with the key action. No wasted words.

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?

Given low complexity and presence of output schema, the description adequately covers purpose and parameters. It could mention the output metric (e.g., sessions) but the schema likely supplies that. Missing any ordering info, but still complete enough.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Despite 0% schema description coverage, the description adds meaning by specifying date format (YYYY-MM-DD), default values, and example filters (e.g., 'United States', 'Organic Search'). This exceeds baseline 3 for low coverage.

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 clearly states the verb (list top landing pages) and dimension (broken out by sessionSource), distinguishing it from siblings like ga4_top_pages which likely don't include the source breakdown.

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?

No guidance on when to use this tool versus alternatives like ga4_channel_breakdown or ga4_top_pages. The description implies a use case but does not provide explicit when-to-use or when-not-to-use information.

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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