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gtovtya

B2BLeads MCP Server

by gtovtya

find_email

Find a business's contact email by scanning its homepage and common contact pages. Returns a real address or null if none found, never fabricates.

Instructions

Look up a best-effort contact email for a single business website (checks the homepage and common contact pages). Use this for one specific website, e.g. from a saved list or CSV, rather than re-running search_leads. May return a null email if none could be found; this tool never fabricates an address.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
websiteYesThe business website URL to look up a contact email for, e.g. "https://example.com".

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.3.0

TDQS

A4.5/5.0
Behavior4/5

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

With no annotations, the description carries the behavioral burden. It discloses that the lookup is best-effort, may return null, and never fabricates an address. It doesn't cover edge cases like redirects or rate limits, but the core reliability behavior is clear.

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?

Three sentences, all informative, with the main purpose and usage guidance front-loaded before the null-return caveat. No wasted words.

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?

For a one-parameter lookup with no output schema, the description explains input scope, alternative, and possible null result. An agent has everything needed to invoke it correctly.

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%, and the schema description already includes the URL example and purpose. The description adds only the 'single business website' qualifier, which is helpful but not substantial beyond the schema.

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?

States a specific action ('Look up a best-effort contact email'), a clear resource ('a single business website'), and the method ('checks the homepage and common contact pages'). It also distinguishes itself from search_leads, so an agent can select it without ambiguity.

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

Usage Guidelines5/5

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

Explicitly directs use for one specific website, e.g., from a saved list or CSV, and tells the agent to use it 'rather than re-running search_leads.' This is clear when-to-use guidance with a named alternative.

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