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rampify-dev

Rampify MCP Server

get_keyword_clusters

Retrieve keyword clusters with volume data, GSC performance, and audit status. Filter by target URL, cluster name, or ID to find clusters for specific pages or projects.

Instructions

Retrieve keyword clusters with keywords, volume data, GSC performance, and audit status. Supports filtering by target_url (exact match), name (partial match), or cluster_id.

Use target_url to find the cluster for a specific page (e.g., target_url: "/" for the homepage cluster). Without filters, returns all clusters.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
domainNoSite domain. Uses SEO_CLIENT_DOMAIN if not provided.
project_idNoProject UUID.
target_urlNoFilter by target URL path (e.g., "/" for homepage)
nameNoFilter by cluster name (partial match)
cluster_idNoFilter by specific cluster ID
Behavior4/5

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

With no annotations, the description discloses the data returned (keywords, volume, GSC performance, audit status) and filtering behavior. No contradictions, but could mention pagination or limits.

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?

Two concise, front-loaded sentences that efficiently convey purpose and filtering options without unnecessary 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?

Adequately complete for a retrieval tool with no output schema. Covers core behavior and filters, but lacks details on pagination or result limits.

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?

Schema covers all parameters with descriptions (100% coverage). The description adds value by explaining target_url as exact match and name as partial match, and noting domain default. Baseline 3, plus extra context.

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 it retrieves keyword clusters with specific data (keywords, volume, GSC performance, audit status) and supports various filters, distinguishing it from sibling tools like create_keyword_cluster or lookup_keywords.

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?

Provides clear guidance on using filters like target_url, name, cluster_id, and explains default behavior without filters (returns all clusters). Does not explicitly mention when not to use, but context is sufficient.

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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