Disclosure

Recommendations are earned, not bought.

AgentFirstTools exists to help people choose tools their AI agents can actually use. That only works if the commercial model is visible and the editorial rules are stricter than the affiliate incentives.

Last updated: 28 May 2026

Short version: AgentFirstTools may earn money from affiliate links, referral links, paid audits, buyer reports, implementation playbooks, templates, sponsorships, or vendor research work. Rankings and recommendations must still be based on observed suitability for agent workflows, not payout size. Top-pick placement is not for sale.

Editorial rules

Evidence before verdicts

Benchmarks and reviews should start from saved observations: task sets, URLs, responses, latencies, errors, receipts, screenshots, or reproducible notes.

Category boundaries matter

Search APIs, SERP wrappers, extraction APIs, CLIs, MCP servers, and SaaS products should not be collapsed into one misleading leaderboard.

Use-case recommendations beat universal winners

A tool can be best for official-docs retrieval, weak for fresh news, and unsuitable for write actions. Recommendations should say where the tool fits.

Dated cohorts, not timeless claims

Benchmarks that depend on changing web results, prices, models, or APIs should be labeled with the run date and enough evidence to understand the snapshot.

Affiliate status is not a ranking factor

Good tools should be included even if they have no affiliate programme. A paid relationship cannot override the evidence.

Corrections are allowed and expected

If a result, price, API behavior, or recommendation becomes wrong, the page should be corrected or marked stale instead of quietly preserving a convenient claim.

Affiliate and referral links

Some pages may contain affiliate or referral links. If a reader signs up or buys through those links, AgentFirstTools may receive a commission, credit, discount, or other benefit at no extra cost to the reader.

Sponsorships and vendor relationships

AgentFirstTools may accept sponsorships, vendor-provided credits, demo access, research funding, or paid vendor audits where that helps produce useful evidence. Those relationships must be labeled clearly when they could affect reader trust.

Sponsored placement is separate from a recommendation. A sponsor may be visible on a page, but cannot buy a top ranking, “best overall” verdict, or removal of negative findings.

Paid audits and buyer reports

AgentFirstTools may sell private tool-selection audits, benchmark scoping, buyer reports, implementation playbooks, templates, or workflow setup help. Those services should use the same agent-first criteria as the public site: inspectability, scriptability, bounded action, verification, recovery, and composability.

Private work should not silently distort public rankings. If private work produces a public finding, sensitive details should be removed and any relevant commercial relationship should be disclosed.

What counts as good evidence?

Corrections and review

If a page contains an error or a vendor believes a benchmark misrepresents its product, AgentFirstTools should review the underlying evidence and update the page where appropriate. Corrections should improve accuracy without hiding the original limitation of a dated run.

For commercial or correction inquiries, use the relevant inquiry form on the audit or benchmark pages rather than sending secrets, credentials, customer data, or confidential logs.