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Aleksey-Panf

b2b-enrichment-mcp

hunter_find_email

Find the most likely work email for a person using their name and company domain. Returns verified email with confidence score for reliable outreach.

Instructions

[Hunter] Find the most likely work email address for a specific person.

Best for: finding a contact email when you know the person's name and employer. Costs 1 Hunter finder credit. Returns the guessed email with a confidence score (0–100), sources, and verification status. A score above 70 is generally reliable for outreach.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
domainYesCompany domain where the person works, e.g. 'stripe.com'.
last_nameYesPerson's last name, e.g. 'Smith'.
first_nameYesPerson's first name, e.g. 'Jane'.
Behavior5/5

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

Without annotations, the description fully carries the burden of behavioral disclosure. It explains the cost (1 credit), the return format (guessed email with confidence score 0-100, sources, verification status), and provides a reliability threshold (score above 70). No contradictions.

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?

The description is four short, purposeful sentences with no wasted words. The purpose is front-loaded, and every sentence adds value.

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

Completeness5/5

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

Despite no output schema, the description explains the output structure, cost, and reliability guidance. The parameter set is simple and fully documented. The tool is complete for its intended use case.

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 description coverage is 100%, so each parameter is already well-documented. The description adds no new parameter details beyond mentioning 'name and employer', which is already captured in schema. 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?

The description clearly states the tool finds the most likely work email for a specific person, with a specific verb and resource. It distinguishes from siblings like 'hunter_find_emails_by_domain' which finds multiple emails for a domain.

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?

The description says 'Best for: finding a contact email when you know the person's name and employer,' providing clear context. It also mentions the cost (1 credit). However, it does not explicitly state when not to use it or name alternative tools.

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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