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scrapercity

scrapercity-cli

Official

scrape_website_finder

Extract emails, phone numbers, and social links from website domains. Optionally filter contacts by job title to target specific roles.

Instructions

Find contact info (emails, phones, social links) from a list of website domains. Optionally filter by job title.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
domainsYesWebsite domains, e.g. ["acme.com", "example.com"]
jobTitleNoFilter contacts by job title, e.g. "CEO"
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It only states what the tool finds, but does not mention rate limits, data freshness, whether it scrapes live or uses cached data, or any legal/privacy considerations. This is insufficient for a data-scraping tool.

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, clear sentence with no extraneous words. It efficiently conveys the core purpose, but could include more detail without becoming verbose.

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

Completeness2/5

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

The tool has no output schema and no annotations. The description does not explain return format, error handling, or what happens when a domain yields no contacts. For a scraping tool, more context about expected output and limitations is needed to be complete.

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% (both parameters documented in the schema). The description adds that jobTitle is an optional filter, which is not explicit in the schema's description of 'Filter contacts by job title', but the schema already says that. The additional context is minimal, so baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool finds contact info (emails, phones, social links) from website domains, with an optional filter by job title. This provides a specific verb and resource, but it does not differentiate from sibling tools like find_emails or find_people, which overlap in functionality.

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 gives no guidance on when to use this tool versus alternatives. Sibling tools such as find_emails or find_mobiles offer similar capabilities, but no exclusions or context for choosing this tool are provided.

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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