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zhangluka

grain-seo-mcp

by zhangluka

page_analysis

Compare Google Search Console ranking data with GA4 behavior data for top pages to identify SEO opportunities.

Instructions

Compare GSC ranking data with GA4 behavior data for top pages to find opportunities

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
gscSiteUrlYesGSC Site URL
ga4PropertyIdYesGA4 Property ID
startDateYesStart date (YYYY-MM-DD)
endDateYesEnd date (YYYY-MM-DD)
limitNoMax pages (default 50)
ga4AccountIdNoOptional GA4 account ID
gscAccountIdNoOptional GSC account ID
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It does not disclose whether the tool is read-only, required authentication for both services, or what the output format is. This lack of detail limits the agent's understanding of side effects or requirements.

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?

The description is a single, well-formed sentence with no extraneous information. It front-loads the core action and purpose, making it easily scannable for an AI agent.

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 tool that combines two separate services (GSC and GA4) and no output schema, the description could provide more context about the expected output (e.g., a list of pages with comparison metrics). While the parameter descriptions are complete, the missing output description and lack of external references leave some gaps.

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 clear descriptions for each parameter (e.g., 'GSC Site URL', 'GA4 Property ID'). The tool description adds the context of comparing two data sources but does not add further parameter-level semantics beyond the schema.

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 action ('Compare'), the data sources ('GSC ranking data with GA4 behavior data'), the scope ('top pages'), and the goal ('find opportunities'). This distinguishes it from sibling tools that focus on single-source analysis.

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 explicit guidance on when to use this tool versus alternatives such as analytics_top_pages or seo_low_hanging_fruit. There is no mention of prerequisites, nor when not to use it.

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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