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EuroComply — EU Regulatory Compliance

get_pack_checkout_link

Read-onlyIdempotent

Generate an instant 1-click checkout link for any EuroComply compliance pack, emergency deal bundle, or dataset. Pre-fills customer email for zero-friction purchase. Returns direct payment URL (Polar MoR with EU VAT/reverse-charge support), price summary, and 3-step activation instructions to use the license key in MCP.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pack_slugYesSlug or keyword for the pack. E.g. 'b2b-deal-flash-pass-2026' (or 'flash-pass'), 'ai-act-audit-shield-bundle-2026' (or 'ai-act'), 'b2b-deal-accelerator-bundle-2026' (or 'deal-accelerator'), 'dora-cyber-resilience-bundle-2026' (or 'dora'), 'eu-compliance-data-library-2026' (or 'library').
company_nameNoOptional company name to associate with the procurement memo.
discount_codeNoOptional discount code to apply at checkout.
customer_emailNoOptional customer email to pre-fill on the Polar checkout screen.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.9/5.0
Behavior4/5

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

Annotations declare readOnlyHint and idempotentHint, so the safety profile is covered; the description goes beyond that by disclosing what is returned (payment URL via Polar MoR with EU VAT/reverse-charge, price summary, 3-step activation instructions) and the email pre-fill behavior. It does not clarify whether a checkout session is persisted server-side, which would be the remaining ambiguity for a 'link generation' call.

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?

Three front-loaded sentences that state the action, the convenience behavior, and the return payload in that order. Minor marketing filler ('zero-friction purchase') costs it a point but nothing is buried.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, so return values need not be enumerated, yet the description still summarizes them accurately and completes the picture for a 4-param tool. Only the absence of explicit usage routing to sibling tools keeps it from a 5.

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 schema already documents all four parameters including the pack_slug examples. The description only adds that customer_email is pre-filled and the link is '1-click', which is marginal value beyond the schema. 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?

Specific verb ('Generate') plus resource ('1-click checkout link') scoped to concrete artifacts (compliance packs, bundles, datasets). An agent can distinguish this from list_compliance_packs and verify_pack_license without opening any schema.

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?

Usage context is implied by the description ('instant 1-click checkout link'), but there is no explicit when-to-use/when-not guidance and no routing to siblings such as verify_pack_license (post-purchase) or list_compliance_packs (discovery). The agent must infer the position in the workflow.

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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