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Get Cannon Studio Checkout Link

get_checkout_link
Read-onlyIdempotent

Return the first-party Cannon Studio checkout or inquiry URL for a selected offering. Public read-only: no auth, no state changes, no charges; use list_offerings first to get a valid product_key.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
product_keyYesOffering id returned by list_offerings, such as subscription:creator:month or credits:2500.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
safetyYes
nextStepYes
offeringYes
productKeyYes
checkoutUrlYes
chargeStatusYes
createsStripeSessionYes

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, but the description adds behavioral context beyond that: 'no auth, no state changes, no charges' and 'Public read-only.' These details reassure the agent about side-effect-free operation and access requirements. No contradictions 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.

Conciseness5/5

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

The description consists of two sentences that pack purpose, safety, and prerequisite into under 30 words. It is front-loaded with the primary function and avoids redundancy with the schema or annotations.

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?

The tool is simple (one required parameter, read-only, output URL), and the description covers purpose, prerequisite, and safety. With an output schema present and rich annotations, no additional return-format details are needed. The combination of schema, annotations, and description fully supports correct usage.

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 input schema has 100% coverage with a detailed description of product_key, including examples. The tool description adds no new semantic information about the parameter; it only refers to 'a selected offering,' which is already captured in the schema. Therefore, a baseline score of 3 is appropriate.

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 description uses a specific verb 'Return' and identifies the resource as 'the first-party Cannon Studio checkout or inquiry URL' for a selected offering, which clearly distinguishes it from sibling tools like list_offerings or get_pricing_context. The scope is explicit: it's about generating a URL, not modifying or listing.

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 explicitly instructs to use list_offerings first to get a valid product_key, providing a clear prerequisite and sequence. It also states 'Public read-only: no auth, no state changes, no charges,' which sets expectations for safe usage conditions, but it does not enumerate alternative tools or when to avoid this one.

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

A4.1/5.0
Disambiguation5/5

Each tool targets a distinct resource or action: status, comparison, creation, estimation, fetching, API docs, checkout, generation polling, model availability, pricing, capabilities, offerings, toolkits, workflow recommendation, and knowledge search. Even the get_* and list_* tools have clear, non-overlapping purposes.

Naming Consistency3/5

Most tools follow a verb_noun pattern (create_generation_request, list_offerings, get_checkout_link), but there are exceptions: api_status is a noun, and fetch and search are single verbs without an object. The mix of get/list/compare/recommend/search/fetch is readable but not perfectly uniform.

Tool Count5/5

15 tools is at the upper bound of the well-scoped range, but each tool serves a clear, distinct purpose in the Cannon Studio domain—from estimation and creation to knowledge retrieval and workflow recommendation. No tool feels redundant or superfluous.

Completeness3/5

The surface covers creation, estimation, polling, knowledge, and commercial operations, but the generation lifecycle is incomplete: there is no update, cancel, or list tool for generation requests, and the create tool explicitly cannot be cancelled through MCP. This is a notable gap for agents managing ongoing work.

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