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List Cannon Studio Offerings

list_offerings
Read-onlyIdempotent

List public Cannon Studio plans, credit packs, and team offerings. Public read-only: no auth, no state changes, no charges; returns first-party checkout or inquiry URLs without creating Stripe sessions or granting credits.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kindNoOptional offering kind filter: free, subscription, credit_pack, or team.
intervalNoOptional subscription interval filter: month or year.
include_checkout_linksNoSet false to omit checkout URLs from the response.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
notesYes
offeringsYes

TDQS

A4.5/5.0
Behavior5/5

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

Beyond the annotations (readOnlyHint, idempotentHint), the description adds concrete behavioral details: no auth, no state changes, no charges, and specifically that it returns first-party URLs without creating Stripe sessions or granting credits. This significantly clarifies side effects and auth requirements, exceeding what the annotations alone convey.

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 two sentences, front-loads the primary purpose in the first sentence, and uses the second for essential behavioral constraints. Every clause adds value with no redundancy or fluff.

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 an output schema present, return values are documented elsewhere. The description covers the critical context: it's a public read-only listing, no auth or side effects, and the exact behavior regarding URLs and Stripe sessions. Given the simple optional parameters and existing annotations, this is fully 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?

The input schema has 100% coverage with descriptions for all three parameters (kind, interval, include_checkout_links). The description does not add parameter-specific semantics beyond what the schema provides, so the baseline 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 opens with a specific verb and resource: 'List public Cannon Studio plans, credit packs, and team offerings.' This clearly identifies the tool's function and categorizes what it returns, distinguishing it from sibling tools like list_capabilities and list_toolkits by focusing on offerings.

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 provides clear usage context: 'Public read-only: no auth, no state changes, no charges' tells the agent this is safe to call without credentials or side effects. The phrase 'without creating Stripe sessions or granting credits' implies when not to use it, contrasting with tools like get_checkout_link, though it doesn't explicitly name an alternative.

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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