Skip to main content
Glama
rampify-dev

Rampify MCP Server

optimize_content

Generate actionable SEO fix instructions for a page after keyword audit. Get step-by-step guidance to add keywords, adjust density, and improve internal/external links while preserving content structure.

Instructions

Generate specific optimization instructions for a page based on its keyword audit results. Runs the content audit, then for each failing check produces actionable fix instructions: add keyword to title, increase density by N occurrences, add internal/external links, vary keyword formatting.

Use this after reviewing a page with get_page_seo to get step-by-step instructions for improving keyword optimization. The AI agent reads these instructions and modifies the source files.

Constraint: instructions preserve content structure (headings, sections, flow). Only text, formatting, and links are modified.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
domainNoSite domain (e.g., "example.com"). Uses SEO_CLIENT_DOMAIN env var if not provided.
project_idNoProject UUID — use instead of domain when no domain is configured.
url_pathYesPage URL path to optimize (e.g., "/service-areas/mosquito-control-toronto/")
Behavior4/5

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

With no annotations, the description carries full burden. It explains the tool runs a content audit and produces fix instructions for each failing check. It also discloses constraints: only text, formatting, and links are modified; structure is preserved. It does not detail side effects, auth needs, or rate limits, but the core behavior is clear and accurate.

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 two paragraphs, each sentence adds value. The main purpose is front-loaded, followed by usage guidance and constraints. It is reasonably concise but could be slightly tighter without losing meaning.

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?

The description explains the output (actionable fix instructions) with examples, but does not specify the exact format (e.g., JSON, list) or how to handle cases with no failing checks. Given no output schema, it leaves some gaps for the agent. It is sufficient but not complete.

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 coverage is 100% (all three parameters have descriptions). The tool description adds no additional information about parameters beyond what the schema already provides. Therefore, it meets 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 clearly states the tool generates specific optimization instructions for a page based on keyword audit results. It uses a specific verb ('generate instructions') and resource ('page optimization'), and distinguishes itself from siblings by noting it is used after get_page_seo, differentiating it from other SEO and content tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly says 'Use this after reviewing a page with get_page_seo to get step-by-step instructions for improving keyword optimization.' This provides clear when-to-use guidance. It also includes a constraint (preserving content structure), but does not explicitly list when not to use or mention alternatives, so slightly lacking.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/rampify-dev/rampify-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server