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lanternrow

linkedin-pages-mcp

by lanternrow

get_page_statistics

Retrieve LinkedIn Company Page view analytics, including unique visitors, section/device breakdowns, and demographics for lifetime or custom date ranges.

Instructions

Page view analytics for a Company Page: views and unique visitors, split by section (overview/careers/jobs/life) and device (desktop/mobile), plus visitor demographics. Lifetime or time-bound (DAY/MONTH).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
end_msNoRange end, ms since epoch. Omit for a lifetime/aggregate query.
start_msNoRange start, ms since epoch. Omit for a lifetime/aggregate query.
granularityNoTime bucket size for time-bound queries.DAY
organization_idNoNumeric Company Page id. Defaults to LINKEDIN_ORGANIZATION_ID.
Behavior4/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It explains the available time scopes (lifetime vs time-bound), the breakdown dimensions, and the inclusion of demographics. This gives a clear picture of what the tool returns without exposing side effects, which are minimal since this is a read-only analytics call.

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 core purpose ('Page view analytics for a Company Page'). Every word adds value—metrics, breakdowns, and time modes—with no filler or repetition.

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?

Given that there is no output schema, the description does a good job explaining what the tool returns: views, unique visitors, sections, devices, and demographics, plus time-bound options. It's sufficient for an agent to invoke the tool and interpret common use cases, though it stops short of detailing the exact response structure.

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?

The schema already describes all four parameters with 100% coverage, so the description doesn't need to add much. It does reinforce that omitting start/end gives lifetime data and mentions DAY/MONTH granularity, but it doesn't go beyond the schema. The slight discrepancy of not mentioning WEEK is minor, but the baseline of 3 is appropriate.

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 purpose: 'Page view analytics for a Company Page' with specific metrics (views, unique visitors) and breakdowns (section, device, demographics). This distinguishes it from sibling analytics tools like get_follower_statistics and get_share_statistics, which cover different metrics.

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 clear context for when to use the tool: when page view analytics are needed. It mentions the lifetime or time-bound modes, giving an idea of query flexibility. While it doesn't explicitly exclude alternatives, the specific metrics and breakdowns make it obvious this is for page views, not followers or shares.

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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