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mambalabsdev

mcp-domain-to-linkedin-url-resolver

Resolve LinkedIn URL

resolve_linkedin_url
Read-onlyIdempotent

Resolve a company domain or name to its LinkedIn company URL with a confidence score and firmographic data for sales enrichment.

Instructions

Resolve a company domain or name to its LinkedIn company URL. Returns the LinkedIn URL with a confidence score, plus firmographics such as employee count, industry, and headquarters, and social links, as a flat, Clay-ready JSON row. Provide at least one of company_domain or company_name. Read-only; requires an APIFY_TOKEN and consumes Apify credits per call.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
company_domainNoBare company domain without https:// and without a trailing slash. Example: stripe.com. Required if company_name is not provided.
company_nameNoCompany name. Required if company_domain is not provided.
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false. The description adds context about requiring APIFY_TOKEN and consuming credits, which is valuable beyond annotations. 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 two sentences long, efficiently conveying purpose, inputs, outputs, and constraints. No filler or redundant information.

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 lacking an output schema, the description fully specifies the return content (firmographics, confidence score, social links) and format (flat, Clay-ready JSON row). All relevant aspects are covered.

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

Parameters4/5

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

Schema coverage is 100% with descriptions for both parameters. The description further clarifies that company_domain should be 'bare' without protocol or trailing slash, providing an example. This adds meaningful detail 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?

The description clearly states the tool resolves a company domain or name to its LinkedIn URL and lists the returned data (confidence score, firmographics, social links). It provides a specific verb ('resolve') and resource ('LinkedIn URL'), making its purpose unambiguous.

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?

It explicitly states the input requirement ('provide at least one of company_domain or company_name') and notes prerequisites (APIFY_TOKEN, credit consumption). While it does not mention alternatives, no siblings exist, so this is sufficient.

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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