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FlatNineOrg

LeadBrew MCP Server

by FlatNineOrg

leadbrew_search_leads

Search for B2B leads using filters like company, industry, or job title, and retrieve full contact details including email and phone.

Instructions

Search for B2B leads/contacts in the LeadBrew database. Returns name, position, company, and LinkedIn profile. Use the lead ID to get full contact details including email and phone.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qNoSearch query for lead name (e.g., "John Smith")
pageNoPage number for pagination (default: 1)
limitNoNumber of results to return (1-25, default: 10)
companyNoFilter by company name (e.g., "Google")
countryNoFilter by country code (e.g., "US", "UK", "DE")
industryNoFilter by industry (e.g., "Technology", "Healthcare")
positionNoFilter by job title/position (e.g., "CEO", "Marketing Manager")
Behavior3/5

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

Discloses returned fields but lacks details on pagination, result ordering, or search behavior (e.g., fuzzy matching). No annotations to compensate.

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 concise sentences clearly stating purpose and providing a key usage tip, with no redundancy.

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 schema covers all parameters and no output schema needed, the description is nearly complete. Could mention possible empty results or search types, but adequate.

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?

All parameters have descriptions in schema (100% coverage), so description adds minimal additional semantics. Baseline 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?

Clearly states it searches for B2B leads in LeadBrew, lists return fields, and differentiates from sibling tools like leadbrew_get_lead and leadbrew_search_companies.

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

Usage Guidelines3/5

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

Implies use case via mention of using lead ID for full details, but does not explicitly state when to use this vs alternatives or provide context like failure scenarios.

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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