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scrapercity

scrapercity-cli

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query_lead_database

Find B2B leads by title, industry, country, company, or seniority. Each request returns up to 100 contacts with names, emails, phones, titles, and company names. Paginate with page parameter.

Instructions

Query the B2B lead database directly (requires $649/mo plan). Returns contacts with names, emails, phones, titles, companies. 100 per request, paginate with page param.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
titleNoJob title filter
industryNoCompany industry
countryNoPerson country
stateNoPerson state
cityNoPerson city
companyNameNoCompany name
companyDomainNoCompany domain
seniorityNoe.g. "vp", "director", "c_suite"
departmentNoe.g. "sales", "engineering"
hasEmailNoOnly contacts with email
hasPhoneNoOnly contacts with phone
pageNoPage number (default 1)
limitNoResults per page (max 100)
Behavior3/5

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

With no annotations, the description bears full burden. It discloses that it returns contacts, requires a plan, and paginates. However, it does not mention rate limits, authentication details beyond the plan, or whether the operation is strictly read-only.

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 sentences, front-loaded with purpose, then results, then pagination. No wasted words; every sentence adds value.

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 13 parameters all described in schema, and no output schema, the description provides key information: what it returns, pagination, and plan requirement. It lacks error handling or differentiation from many similar siblings, but is reasonably 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%, so baseline is 3. The description adds minimal extra meaning beyond the schema (e.g., mentions 100 per request, already in schema limit). It does not elaborate on usage of specific parameters.

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 it queries a B2B lead database and returns contacts with specific fields (names, emails, phones, titles, companies). It differentiates from siblings like scrape_ tools or find_ emails by being a direct database query.

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?

The description mentions a required $649/mo plan and pagination limits (100 per request, page param). It does not explicitly say when to use vs alternatives, nor provide when-not-to-use guidance.

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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