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linkdapi-the-best-linkedin-professional-data-api

Get Company Employees Data

get_api_v1_companies_company_employees_data

Get company Get campany Employees Data By ID Group: Companies. Billing per call: 1 Credits.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNocompany ID

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

B3.1/5.0
Behavior3/5

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

With no annotations present, the description carries the full burden, and it does add one meaningful piece of operational context: 'Billing per call: 1 Credits,' which an agent would want to know before invoking. However, nothing is disclosed about the read-only nature, response format, authentication needs, or rate limits. The cost disclosure earns partial credit, but it's thin for an unannotated endpoint.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is one sentence packing three facts (what to get, group, billing), which is appropriately brief. However, it contains a crude duplication error ('Get company Get campany') and a misspelling ('campany'), detracting from overall quality. Front-loaded enough, but the sloppiness keeps it from scoring higher.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple tool with 1 parameter, no nested objects, and no output schema, the description is close to sufficient. However, 'Employees Data' is vague — an agent is left wondering what fields are returned and why this differs from company_info or company_insights. Adequate but not rich enough to fully compensate for the lack of an output schema.

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% — the single parameter 'id' is described as 'company ID' with an example '1441' — so the baseline of 3 applies. The description adds nothing beyond a redundant 'By ID' and does not clarify id validity, format constraints, or edge cases. Meets the minimum bar without enhancing parameter meaning.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb+resource: 'Get company Employees Data By ID', which is specific enough to understand what the tool fetches. While it doesn't explicitly distinguish itself from siblings, the 'Employees Data' resource is distinct from 'company_info' or 'company_insights' tools in the sibling list. Minor typos ('campany') and a duplicated 'Get' slightly muddy an otherwise clear purpose.

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?

There is no guidance on when to use this tool versus its ~50 siblings — no explicit when/when-not, no prerequisites, no alternatives named. 'Group: Companies' merely categorizes the tool rather than disambiguating it. For a tool with so many siblings, some usage direction would be critical, but it's entirely absent.

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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