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Domain Report

domain_report
Read-onlyIdempotent

Query DNS, WHOIS, SSL, subdomains, and threat intel for a domain in one call. By default dns.txt is filtered to security-relevant entries (SPF, DMARC, DKIM, MTA-STS, TLS-RPT) and dns.total_txt_records reports the honest pre-filter count; pass include_all_txt=true for the raw TXT list. Use as a starting point for domain investigations; use audit_domain for live headers + tech stack. Response carries next_calls — chain with subdomain_enum (always emitted), ssl_check + tech_fingerprint (when an A record resolves) for the standard recon depth without re-prompting. Free: 30/hr, Pro: 500/hr. Returns domain report with DNS records, WHOIS data, SSL cert, risk score, email config, threat status, recommendation, and next_calls.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
domainYesRoot domain to analyze, without protocol or path (e.g. 'example.com', 'shopify.com')
include_all_txtNoReturn every TXT record (default: False, only SPF/DMARC/DKIM/MTA-STS/TLS-RPT kept). dns.total_txt_records is always emitted with the honest pre-filter count. Default filter strips vendor verification strings (google-site-verification, ms=, facebook-domain-verification, etc.) that bloat the response without security signal. Set True only when you need the raw TXT inventory.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

TDQS

A4.7/5.0
Behavior5/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, establishing a safe read-only profile. The description adds valuable behavior beyond annotations: default TXT filtering, honest pre-filter count, next_calls chain logic, conditional emission of ssl_check/tech_fingerprint, and rate limits. No contradiction.

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 well-structured and front-loaded with the core purpose. Each of the five sentences serves a distinct role: purpose, filtering semantics, usage alternative, next_calls guidance, and return summary. No wasted words for a tool with this complexity.

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?

Given the tool's complexity and the presence of an output schema, the description covers all necessary context: return categories (DNS, WHOIS, SSL, risk score, etc.), next_calls chaining, default filtering behavior, and rate limits. It is complete for an agent to select and invoke the tool without additional clues.

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 description coverage is 100% and both parameters are richly documented in the input schema (e.g., include_all_txt's default filter, total_txt_records behavior, and vendor-verification stripping). The tool description largely restates these same details without adding new meaning beyond the schema, so baseline 3 applies.

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's function: 'Query DNS, WHOIS, SSL, subdomains, and threat intel for a domain in one call.' It distinguishes itself from siblings by positioning as an all-in-one starting point and explicitly contrasts with audit_domain for live headers and tech stack.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides explicit usage context: 'Use as a starting point for domain investigations; use audit_domain for live headers + tech stack.' Also explains when to set include_all_txt=true and how to chain next_calls with subdomain_enum, ssl_check, and tech_fingerprint. This is concrete when-to-use vs. alternative 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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TDQS

A4.5/5.0
Disambiguation4/5

Most tools have clearly distinct purposes, with differences between lookup/search/scan/audit for each domain. However, some overlap exists (e.g., email_mx vs email_security_posture, scan_headers vs contrast_scan) which could cause occasional confusion. Overall, boundaries are well-defined.

Naming Consistency5/5

Tool names follow a consistent verb_noun pattern (e.g., cve_lookup, check_headers, bulk_cve_lookup) with all lowercase underscores. Variations like kev_detail or ssl_check are minor and still predictable. No chaotic mixing of conventions.

Tool Count4/5

54 tools is high but justified by the broad cybersecurity scope (CVE, ATLAS, D3FEND, Sigma, domain, email, IOC, scanning). Some redundancy exists (e.g., three email-related tools), but the count is not excessive given the API's comprehensive feature set.

Completeness5/5

The tool set thoroughly covers the threat intelligence and domain investigation lifecycle: CVE/KEV/exploit/CWE, ATLAS/D3FEND/Sigma, DNS/WHOIS/SSL/subdomains, email security, IOC enrichment, and active scanning. No significant gaps are apparent for the stated cybersecurity purpose.