Launchelion

List paid add-ons (offers)

list_offers

Read-onlyIdempotent

List the optional paid add-ons a maker can buy to promote their listing (name, one-sentence effect, price in USD). Listing is always free; these only ADD reach and are always labeled 'Sponsored'. Call this to see what's purchasable before create_checkout. During free early access (early-bird), offers are not yet purchasable and this says so (purchasable=false).

Input Schema

TableJSON Schema

Name	Required	Description	Default
No arguments

Output Schema

TableJSON Schema

Name	Required	Description
`note`	Yes
`site`	Yes
`offers`	Yes
`purchasable`	Yes	False during free early access — nothing can be bought.

TDQS

A4.7/5.0

Behavior4/5

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

Annotations already mark this as read-only and idempotent, and the description adds meaningful behavioral context: listing is free, offers only add reach, they are labeled 'Sponsored', and purchasable=false during early access. This goes beyond the structured hints without contradicting them.

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 three sentences long with no filler. Every sentence adds useful information, and the most important purpose is front-loaded.

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 zero-parameter, read-only tool with an output schema, the description is fully complete: it covers the purpose, output semantics, relationship to create_checkout, and the early-access caveat. Nothing essential is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has zero parameters, so there are no parameter semantics to clarify; the baseline of 4 applies. The description usefully describes output content (name, one-sentence effect, price, purchasable flag), which helps the agent understand the returned data.

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 clearly states the tool lists optional paid add-ons for makers, including their name, effect, and price in USD. It uses a specific verb ('List') and resource ('paid add-ons') and distinguishes itself from the related create_checkout tool.

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

Usage Guidelines5/5

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

The description explicitly instructs to call this tool before create_checkout, establishing a clear usage context. It also explains the early-access condition where offers are not purchasable, giving the agent useful when-to-use and when-not-to-buy guidance.

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

A4.7/5.0

Disambiguation5/5

Each tool targets a distinct resource and action: searching listings, retrieving listing details, finding alternatives, viewing purchasable add-ons, creating a checkout, and submitting a tool. There is no meaningful overlap between any two tools, even though search and alternatives both relate to discovery, their inputs and outputs are clearly separated.

Naming Consistency5/5

All six tool names follow a consistent verb_noun snake_case pattern: create_checkout, get_tool, list_alternatives, list_offers, search_tools, submit_tool. The verb is always first and the resource focus is clear, making the toolset predictable and easy to navigate.

Tool Count5/5

Six tools is a well-scoped size for the server's purpose: discovering, retrieving, comparing, submitting, and optionally promoting AI tool listings. Each tool earns its place and there is no bloat or thinness.

Completeness5/5

The toolset covers the full public-facing lifecycle of the domain: search and discovery, detail retrieval, alternative lookup, submission of new tools, and monetization via offers and checkout. There are no obvious dead ends; the only intentionally external step is the human completing checkout, which is clearly documented.

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