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FlatNineOrg

LeadBrew MCP Server

by FlatNineOrg

leadbrew_get_company

Get detailed company data and employee lists by company ID or LinkedIn handle for B2B lead generation.

Instructions

Get detailed information about a specific company including employee list.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesThe company ID (from search results) or LinkedIn company handle
include_employeesNoInclude list of employees (counts toward daily quota)
Behavior2/5

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

No annotations are provided, so the description carries the full burden. However, it only states the basic action and does not disclose behavioral traits like read-only nature, any side effects, or rate limits beyond what is already in the schema (quota for include_employees).

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 a single sentence that is concise and front-loaded with the core purpose. No unnecessary words. It could be slightly more informative without harming conciseness, but it is efficient.

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?

Given the tool has 2 parameters and no output schema, the description gives an overview but lacks details on what fields are included in 'detailed information'. It is adequate for a simple get tool but not fully comprehensive.

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% with clear descriptions for both parameters (id and include_employees). The description does not add new information about parameters, but the schema provides sufficient meaning, so baseline score 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 verb 'get' and the resource 'detailed information about a specific company', with a specific feature 'including employee list'. This distinguishes it from sibling tools like search (leadbrew_search_companies) and lead (leadbrew_get_lead).

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 does not provide any guidance on when to use this tool versus alternatives, such as when to use leadbrew_search_companies instead. No exclusions or prerequisites are mentioned.

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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