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Hunter Enterprise Search

hunter_enterprise_search

Search Hunter enterprise data for IPs, domains, URLs, and more. Filter by status code, date range, and exact match to find specific assets.

Instructions

Search Hunter enterprise API /openApi/search. Enterprise fields: ip,port,domain,ip_tag,url,web_title,is_risk_protocol,protocol,base_protocol,status_code,os,company,number,icp_exception,country,province,city,is_web,isp,as_org,cert_sha256,ssl_certificate,component,asset_tag,updated_at,header,header_server,banner,whois,body,vul_list.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number.
queryYesHunter query, for example web.title="login".
fieldsNoComma-separated return fields.
is_webNo1=web, 2=non-web, 3=all.
end_timeNoEnd date in YYYY-MM-DD.
page_sizeNoResults per page.
start_timeNoStart date in YYYY-MM-DD.
status_codeNoComma-separated status codes, for example "200,401".
exact_searchNoConvert Hunter field="value" fuzzy comparisons to field=="value" exact comparisons by default.
Behavior2/5

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

With no annotations, the description must fully disclose behavior. It mentions the API endpoint and enterprise scope but omits critical traits like read-only nature, rate limits, or authentication requirements. The description implies a read operation but lacks explicit safety guarantees.

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?

Description is concise with one sentence and a field list. It is front-loaded with the action but the list is long and could be formatted more cleanly. Still, it avoids unnecessary verbosity.

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?

Given 9 parameters and no output schema or annotations, the description is too sparse. It does not explain pagination, return format, or behavior of parameters like 'exact_search'. The field list alone is insufficient for an agent to fully understand tool usage.

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 the description adds minimal value beyond the schema. The list of enterprise fields provides context for the 'fields' parameter but is not explained. Baseline is 3 since schema covers parameters.

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?

Description clearly states it's a search tool for the Hunter enterprise API and lists enterprise-specific fields, distinguishing it from personal search tools. However, it does not explicitly state the return type or differentiate from other search tools beyond the field list.

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?

No guidance is provided on when to use this tool versus alternatives such as hunter_personal_search or other sibling search tools. The description lacks explicit context for selection.

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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