Skip to main content
Glama
hholen

@lodd/mcp-server

by hholen

get_pages

Retrieve pages ranked by traffic, compare performance over different periods, and filter by URL path, country, browser, OS, device, UTM source, or referrer. Returns page titles.

Instructions

Get pages ranked by traffic. Call twice with different periods to compare page performance over time. Optionally filter by URL path and/or segment by country, browser, os, device type, UTM source, or referrer. Returns page titles when available.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
siteYesSite domain or UUID
limitNoMax results (1-1000)
periodNoTime period30d
filter_osNoOS substring match (e.g. 'iOS')
url_containsNoFilter pages containing this path segment, e.g. '/blog'
filter_browserNoBrowser substring match (e.g. 'Chrome')
filter_countryNo2-letter country code (e.g. 'US')
filter_utm_sourceNoExact UTM source (e.g. 'twitter')
filter_device_typeNoDevice type: 'desktop' | 'mobile' | 'tablet'
filter_referrer_containsNoReferrer substring (e.g. 'google')
Behavior4/5

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

With no annotations, the description transparently discloses that the tool returns pages ranked by traffic, supports optional filters, and includes page titles when available. It does not mention pagination or rate limits, but what is stated is accurate and helpful.

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 concise with four sentences that are front-loaded: 'Get pages ranked by traffic' immediately states the core purpose. Every sentence adds value without redundancy.

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?

For a tool with 10 parameters and no output schema, the description covers the primary use case, optional filters, and return behavior. It lacks details on sorting order and pagination, but overall it provides sufficient context for an AI agent to use it correctly.

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%, so baseline is 3. The description adds context by grouping filters (e.g., 'segment by country, browser, os') and noting the ranking behavior, but it does not significantly enhance understanding beyond the schema descriptions.

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 'Get pages ranked by traffic', which is a specific verb and resource. It distinguishes from sibling tools like get_entry_exit_pages and get_traffic_sources by focusing on page rankings with filtering options.

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 provides explicit usage guidance: 'Call twice with different periods to compare page performance over time.' It implies the tool is for comparing periods and optionally filtering, though it does not explicitly exclude alternatives.

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/hholen/lodd-mcp-server'

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