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negrueu

linkedin-company-admin-mcp

by negrueu

Company analytics

company_analytics
Read-only

Access LinkedIn analytics metric cards for post performance and audience growth. Provide company ID and scope to fetch updates, followers, or all metrics.

Instructions

Read metric cards from the analytics page.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
scopeNo``"updates"`` (post performance), ``"followers"`` (audience growth), or ``"all"`` (both).updates
company_idYesNumeric page ID or URL.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, which cover the safety profile. The description adds minimal extra context ('from the analytics page') but does not disclose additional behaviors like pagination or data aggregation. It is consistent with annotations, so no contradiction.

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 a single, efficient sentence ('Read metric cards from the analytics page.') that clearly communicates the core function with no wasted words. It is front-loaded with the verb and object, making it immediately scannable.

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 the tool's simplicity, strong schema documentation (100% parameter coverage), an output schema, and read-only annotations, the description is largely sufficient. The only shortcoming is the lack of usage guidance, but the combination of description and schema covers what the tool does and how to call it.

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% for both parameters (company_id and scope). The description adds no additional parameter information beyond what the schema already provides, so a 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 uses a specific verb ('Read') and resource ('metric cards from the analytics page'), making the tool's function immediately clear. It distinguishes itself from sibling tools like company_list_posts or company_list_followers by focusing on aggregated analytics metrics rather than raw data.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives such as company_list_posts or company_list_followers. The scope parameter in the schema hints at some flexibility, but the description itself does not explain preferred use cases or exclusions.

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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