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Start a paid-plan checkout

start_checkout

Create a hosted checkout link to upgrade to a paid API plan (starter $49, pro $99, business $299 / month). Returns a checkout_url the user opens in a browser; payment happens on our own checkout, and on success the user's API key is upgraded automatically. Does not modify any data.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tierYesPlan to buy. AI Law Tracker: starter | pro | business. US Law Platform: us_entry (sold as "Starter") | us_solo | us_starter (sold as "Pro").
emailNoOptional — pre-fills the checkout / links the subscription to this email.

TDQS

A4.1/5.0
Behavior4/5

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

The description adds value beyond the annotations: it states that payment happens on their own hosted checkout (not an external gateway), that the API key is upgraded automatically on success, and that it 'does not modify any data' (which clarifies the destructiveHint=false annotation). The annotations declare readOnlyHint=false, openWorldHint=true, and idempotentHint=false, and the description adds the automatic upgrade behavior and the non-destructive aspect. This is a reasonable amount of context, though it could mention that the checkout URL expires or that the user must have an existing free key, but the context signals don't indicate those are essential.

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?

The description is a single, focused sentence that packs in the core action, the output (checkout URL), the payment flow, the automatic upgrade, and a non-destructive statement. It's front-loaded with the verb 'Create' and the resource. No wasted words. It's as concise as possible while covering the key points.

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 tool with 2 parameters (100% schema coverage), an output schema absent (so the description must mention the output, which it does with 'checkout_url'), and clear sibling differentiation, this is complete. It tells the agent what happens on success, that it's a browser-based flow, and that it's non-destructive. It also implicitly clarifies the openWorldHint by saying it's a hosted checkout. Considering the tool's complexity and the available structured data, the description is sufficiently complete.

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% with detailed descriptions for both parameters: tier includes the enum with the product-specific naming, and email includes the pre-fill and linking behavior. The description adds value by mapping the tier names to monthly pricing in the overall tool context, but the schema already describes the tier mapping well. The parameter semantics add marginal value over the schema, so the baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it creates a hosted checkout link to upgrade to a paid plan, a specific action distinct from the sibling tools (all of which are read/get/list/search operations). It also names the specific resources (paid API plans) and the pricing tiers, which helps distinguish it. However, the description could slightly improve by explicitly stating it's for both AI Law Tracker and US Law Platform, though the tier parameter covers that.

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

Usage Guidelines4/5

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

The description implies when to use it: to upgrade to a paid plan. It clarifies it's a write operation (creating a checkout) and that payment happens on their own checkout, which implies a browser interaction. It doesn't explicitly say when NOT to use it (e.g., as opposed to create_free_key), but the sibling list suggests that alternative, and the description contrasts with 'does not modify data', which guides away from destructive use. It could be slightly more explicit about the integration with create_free_key for upgrades, but it's clear enough.

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

A3.8/5.0
Disambiguation1/5

Multiple tools are nearly interchangeable: assess_ai_compliance and generate_compliance_report both take a business profile and return risk score plus obligations, and get_sector_detail overlaps with get_ai_obligations/get_ai_penalties. Additionally, list_recent_changes and list_law_feed both describe dataset changes, while list_jurisdictions overlaps with list_countries and list_us_states. An agent cannot reliably pick the right tool without reading fine print.

Naming Consistency4/5

The set mostly follows a consistent snake_case verb_noun pattern (get_ai_law, list_sectors, search_court_opinions). Minor deviations exist: assess_ai_compliance and generate_compliance_report use different verb styles for near-identical actions, and list_ai_law_news is inconsistent with list_ai_laws. Overall the pattern is still predictable and readable.

Tool Count2/5

With 28 tools, the server exceeds the comfortable range and includes several redundant or overlapping endpoints that could be consolidated. The broad domain justifies a larger surface, but duplicates like assess_ai_compliance/generate_compliance_report and the three jurisdiction listers make the count feel inflated rather than well-scoped.

Completeness4/5

The tool surface covers the core read-only AI-law workflow well: search and retrieve laws, obligations, penalties, deadlines, sectors, jurisdictions, bills, court opinions, news, and change history. Minor gaps remain, such as no way to fetch a single obligation/penalty record by ID and no separate news-detail endpoint, but these are workable and not dead ends.

Resources