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Wayback Lookup

wayback_lookup
Read-onlyIdempotent

Retrieve Wayback Machine snapshots for a domain: first capture, latest, total count, snapshot list. Use to investigate domain history and age; for full audit use domain_report. Free: 30/hr, Pro: 500/hr. status='ok' means the count is authoritative (even when 0 → confirmed no archives). status='unavailable' means CDX timed out/rate-limited/5xx — total_snapshots is OMITTED (unknown, NOT zero) and the agent should NOT report "no snapshots"; the warnings[] array carries the cdx_* error code (cdx_timeout/cdx_rate_limited/cdx_unavailable/cdx_error/cdx_parse_error/cdx_body_too_large). Heavy domains (kernel.org, microsoft.com, archive.org itself) frequently time out the CDX endpoint despite having millions of snapshots — fall back to archive_url for manual inspection. Returns {domain, status, total_snapshots, first_seen, last_seen, years_online, snapshots, archive_url, summary, warnings}.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
domainYesDomain to look up in web archives (e.g. 'example.com', 'archive.org')

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

TDQS

A4.6/5.0
Behavior5/5

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

Beyond the readOnly/idempotent annotations, the description discloses crucial behaviors: status='ok' vs 'unavailable' semantics, that total_snapshots is omitted (not zero) on failure, specific error codes in warnings[], and known heavy domains that time out. No contradiction with annotations.

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 relatively long but well-organized: purpose, usage, rate limits, status details, error handling, returns. Each sentence carries necessary information, though the status/error segment is dense and could be tightened slightly. Not wasteful enough for a 3, but not as minimal as a two-sentence ideal.

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?

For a one-parameter lookup tool, the description is exceptionally complete: it covers the return structure, error states, rate limits, alternative tools, and edge cases like heavy domains and CDX timeouts. The output schema existence plus this description leaves no major gaps.

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?

The schema already provides 100% coverage for the single domain parameter with examples. The description adds no further parameter syntax or format detail; it only references heavy domains in a behavioral context, so it neither improves nor worsens schema coverage. 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 first sentence clearly states the tool retrieves Wayback Machine snapshots for a domain, listing specific outputs (first capture, latest, total count, snapshot list). It also explicitly distinguishes from the sibling tool by saying 'for full audit use domain_report'.

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?

The description directly states when to use: 'Use to investigate domain history and age' and gives alternatives: 'for full audit use domain_report.' It also provides rate limits (Free: 30/hr, Pro: 500/hr) and fallback guidance for heavy domains.

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.