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TVLSS

HireJack

Search Companies

search_companies
Read-only

Search companies by name, domain, or industry to find their hiring volume and job counts. Use this to discover which companies are hiring in a specific sector or to look up a company's domain.

Instructions

List HireJack's tracked companies with hiring volume. Filter by name/domain (q) or industry. Returns slim records with domain, name, industry, total open jobs, and engineering job count. Use this to find companies in a sector ('which fintech companies are hiring?') or to resolve a company name to its domain before calling get_company_profile.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qNoCompany name or domain substring (case-insensitive). Use this to resolve a company name to its domain, e.g. q='stripe' → 'stripe.com'. Combines with `industry` (AND).
limitNoMax companies to return (default 50)
industryNoIndustry substring filter (case-insensitive). Examples: 'fintech', 'health tech', 'gaming', 'defense', 'AI'.
Behavior4/5

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

Annotations provide readOnlyHint=true; the description adds that the tool returns 'slim records' with specific fields and mentions filtering by name/domain or industry. This provides helpful context beyond annotations.

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?

Description is three concise sentences with no wasted words, front-loaded with the main action, and structured logically.

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 explicitly lists returned fields. Given the tool's simplicity and clear use case, the description is fully adequate.

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?

All three parameters have full schema descriptions, and the tool description adds context, e.g., using 'q' to resolve a company name to a domain with example. This adds meaning 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 lists tracked companies with hiring volume and returns specific fields. It differentiates from sibling tool get_company_profile by indicating this tool is for discovering companies before calling that profile endpoint.

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 gives explicit examples of when to use: finding companies in a sector or resolving a company name to domain. It references a sibling tool (get_company_profile) but does not explicitly state when not to use.

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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