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rampify-dev

Rampify MCP Server

by rampify-dev

get_page_seo

Analyze page SEO performance using Google Search Console data, identify technical issues, and receive actionable optimization recommendations for improved search visibility.

Instructions

Get comprehensive SEO data and insights for a specific page. Returns performance metrics from Google Search Console, detected issues, optimization opportunities, and actionable recommendations.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
domainYesSite domain (e.g., "example.com")
url_pathNoPage URL path (e.g., "/blog/post")
file_pathNoLocal file path (will be resolved to URL)
contentNoCurrent file content (for context)
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions the tool returns data from Google Search Console and other insights but doesn't specify permissions needed, rate limits, whether it's a read-only operation, or how it handles errors. For a tool with no annotation coverage, this leaves significant behavioral gaps.

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-structured sentence that efficiently conveys the tool's purpose and output. It's front-loaded with the core action and resource, with no wasted words, making it highly concise and effective.

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?

Given the tool's complexity (SEO analysis with multiple data sources), no annotations, and no output schema, the description is moderately complete. It outlines the scope of returned data but lacks details on behavioral traits, error handling, or output structure, which are important for such a tool.

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 documents all 4 parameters. The description adds no additional meaning about parameters beyond implying they identify a page for SEO analysis. This meets the baseline of 3 when the schema does the heavy lifting.

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 specific action ('Get comprehensive SEO data and insights') and resource ('for a specific page'), distinguishing it from siblings like 'get_gsc_insights' (which focuses only on Google Search Console) and 'get_issues' (which might be broader). It specifies the scope of data returned, making the purpose unambiguous.

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 'get_gsc_insights' or 'get_issues', nor does it mention prerequisites or exclusions. It implies usage for SEO analysis but lacks explicit context for tool selection among siblings.

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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