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search_linkedin_employees

Find employees at a company on LinkedIn. Returns name, headline, location, and profile URL. Uses Google indexing — no LinkedIn login or cookies required.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
companyYesCompany name (e.g. "Stripe", "Notion")
jobTitleNoOptional job title filter (e.g. "Head of Marketing", "CTO")
maxResultsNoMax profiles to return (default 25)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Discloses use of Google indexing and no authentication needed. Does not mention potential limitations like data freshness or coverage, but adds value beyond schema.

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?

Two sentences, no filler, front-loaded with purpose. Efficient and well-structured.

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?

Covers purpose, return fields, and key method. Lacks pagination or error info but sufficient for a simple 3-param tool.

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 covers all 3 parameters with descriptions. Description adds return field info but not parameter details; schema does the heavy lifting.

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?

Description clearly states verb 'Find', resource 'employees at a company on LinkedIn', and lists returned fields. Distinguishes from sibling tools like search_linkedin_jobs and get_linkedin_profiles.

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?

Explains no LinkedIn login or cookies required, indicating context for use. Lacks explicit when-not-to-use or alternatives, but provides clear 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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