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Marc-Lou-Org

@datafast/mcp-server

by Marc-Lou-Org

Get Top Pages

get_pages

Retrieve the most visited pages ranked by visitor count, with revenue attribution per page.

Instructions

Get the most visited pages on the website, ranked by visitor count. Includes hostname, path, visitor count, and revenue attribution per page.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
osNoFilter by operating system
refNoFilter by ref parameter
viaNoFilter by via parameter
cityNoFilter by city
pageNoFilter by page path
endAtNoEnd date in ISO 8601 format (e.g. 2025-01-31T23:59:59Z)
limitNoNumber of results to return (1-1000, default: 100)
deviceNoFilter by device type (desktop, mobile, tablet)
offsetNoNumber of results to skip (default: 0)
regionNoFilter by region
sourceNoFilter by source parameter
browserNoFilter by browser (e.g. Chrome, Safari)
countryNoFilter by country code (e.g. US, GB)
startAtNoStart date in ISO 8601 format (e.g. 2025-01-01T00:00:00Z)
hostnameNoFilter by hostname
referrerNoFilter by referrer URL
timezoneNoIANA timezone (e.g. America/New_York). Defaults to website timezone
utm_termNoFilter by UTM term
entry_pageNoFilter by entry page path
utm_mediumNoFilter by UTM medium
utm_sourceNoFilter by UTM source
utm_contentNoFilter by UTM content
utm_campaignNoFilter by UTM campaign
Behavior3/5

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 discloses the sorting behavior ('ranked by visitor count') and return fields, but does not mention default limit, pagination, filter interaction, or read-only nature. Some context is provided, but not comprehensive.

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 two concise sentences, front-loaded with the primary action and key output fields. Every sentence contributes value with no 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?

The description covers the core purpose and return structure, but given the tool's 23 optional parameters and lack of output schema, it would benefit from mentioning pagination defaults or how filters apply. The schema covers parameter details, so the gap is modest.

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 baseline is 3. The description does not add parameter-specific meaning beyond what the schema already provides; it only mentions result fields, not filter semantics.

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's function: 'Get the most visited pages on the website, ranked by visitor count.' It also lists the specific data returned (hostname, path, visitor count, revenue attribution), which distinguishes it from sibling tools like get_timeseries or get_overview.

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 implies the usage context (when you need top pages by traffic) but does not explicitly mention alternatives or when not to use this tool. It provides clear context but lacks formal exclusionary guidance.

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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