Skip to main content
Glama
shauryajain21

Linkup Company Research MCP

company_leadership

Get comprehensive information on a company's leadership team, including CEO, C-suite, founders, board members, and recent changes.

Instructions

Get information about a company's leadership team.

Identifies CEO, C-suite executives, founders, board members, key hires, and notable departures.

Args: company_name: The name of the company to research output_format: "answer" for natural language with sources, "structured" for JSON include_images: Include executive headshots max_results: Maximum sources to consider (1-50)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
max_resultsNo
company_nameYes
output_formatNoanswer
include_imagesNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, and the description does not disclose behavioral traits such as read-only nature, required permissions, rate limits, or potential side effects. It only states what it returns.

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

Conciseness4/5

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

The description is concise and front-loaded with the purpose. The Args section is structured but not verbose. Every sentence provides value, though it could be slightly more compact.

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?

With an output schema present, the description covers return format and the types of information retrieved. It lacks details on error handling or empty results, but for a simple query tool this is acceptable.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description explains each parameter beyond the schema: company_name is the name of the company, output_format specifies 'answer' or 'structured', include_images adds headshots, and max_results gives a range (1-50). This adds significant meaning over the schema's type and title fields.

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 it retrieves a company's leadership team and lists specific roles (CEO, C-suite, founders, etc.), distinguishing it from sibling tools like company_overview or company_funding. The verb 'Get' is generic but sufficient.

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?

No guidance is given on when to use this tool versus alternatives (e.g., research_company). It does not specify prerequisites or context for invocation.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/shauryajain21/Linkup-MCP-Company-Research'

If you have feedback or need assistance with the MCP directory API, please join our Discord server