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check_agent_readiness

Read-onlyIdempotent

Free on testnet. Automated scan, not human-verified. Scan-only quick read of whether AI agents can discover and buy from a website. Returns the engine's report as-is: scanner_version and scan_id ("v4"), report.score (scan-only), report.band (can be 'Partly assessed'), report.coverage, report.summary, report.confidence, report.can_agents_buy, report.who_eats_the_loss (display label "Who carries the risk?"; needs the 5 answers, so not assessed here), report.archetype ('unclassified' if not classified), report.rows (with unknown_reason), report.gaps, report.actions (always exactly 3: 2 business then 1 technical, each with kind "business" | "technical"), report.ledger (related Ledger entries), checks, evidence, findings, and scan_interrupted.reason (timeout|blocked|dns_tls|robots_disallowed|refused|http_error) when the scan could not finish. Input: a bare domain (e.g. "yourstore.com"). It reads public pages only; it is NOT a certification, audit or legal advice. Open questions only the business can answer come back with a link to https://thepaymentsnotes.com/readiness. Limits: 3 scans per caller per day and 50 per day overall, shared with the website; results are cached for 24h. Weekly newsletter: https://thepaymentstack.substack.com

Input Schema

NameRequiredDescriptionDefault
domainYesBare domain only, e.g. 'yourstore.com' (no https://, path or port)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.1/5.0
Behavior5/5

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

Goes well beyond the annotations, which only cover the read-only/idempotent/open-world safety profile. It adds concrete operational constraints: 3 scans per caller per day, 50 per day overall shared with the website, 24h result caching, public-pages-only access, explicit non-certification/audit/legal-advice disclaimers, and enumerated scan_interrupted reasons (timeout, blocked, dns_tls, robots_disallowed, refused, http_error).

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Purpose is front-loaded, which is good, but the body is a single bloated paragraph dumping every report field, plus a trailing newsletter link that does not earn its place. Since no output schema exists the field list has some value, but the structure is a run-on enumeration rather than organized sections.

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?

With no output schema, the description carries the full documentation burden for return values and does so thoroughly: report fields, band values, archetype fallback, gap/actions shape, ledger, checks, evidence, findings, and interrupted-scan reasons. Combined with rate limits, caching, and disclaimers, an agent can invoke and interpret this tool without further context.

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%: the schema already documents 'domain' with a pattern, length bounds, and the 'bare domain only, no https://' rule. The description repeats the bare-domain example ('yourstore.com') without adding format or edge-case detail beyond it, so the schema is doing the load-bearing work.

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?

States a specific verb and resource: a scan-only quick read of whether AI agents can discover and buy from a website. The 'automated scan, not human-verified' qualifier and the explicit scope ('scan-only') distinguish it from human-verified certification or audit tools a caller might assume. Nothing in the sibling list (get_status, list_protocols, etc.) overlaps.

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

Usage Guidelines3/5

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

Signals a 'quick read' and notes it is free on testnet, implying a lighter-weight alternative to a full audit, but never names a sibling or states when NOT to use it. The pointer to the readiness page for open questions is useful context but not a routing rule. Adequate, with clear gaps.

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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