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JavaScript
Remote

producthunt_launches

Fetch Product Hunt launch posts for a product by its slug; use order and cursor to paginate and get names, taglines, ranks, scores, comments, badges, and dates.

Instructions

Retrieve Product Hunt product launches. Lists the launch posts of a Product Hunt product, looked up by its slug in id. order defaults to DATE; pass the returned end_cursor as cursor for the next page. Each launch has its name, tagline, ranks, scores, comment count, badges and dates. An unknown slug returns 404.

Input Schema

NameRequiredDescriptionDefault
idYesProduct Hunt slug
orderNoProduct Hunt launch order
cursorNoPagination cursor

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A4.5/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and delivers: it is a read/list operation, discloses the default ordering (DATE), explains the pagination contract (end_cursor → cursor), and states the 404 behavior for an unknown slug. Rich for a read tool, though return format detail is limited.

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?

Four tight sentences, front-loaded with purpose, then lookup key, defaults/pagination, and return fields. No filler or redundancy.

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?

No output schema, yet the description enumerates returned fields (name, tagline, ranks, scores, comment count, badges, dates) and covers pagination and error behavior. Complete for a 3-parameter read tool.

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?

Schema coverage is 100%, but the description goes beyond it: it identifies `id` as a slug, states `order` defaults to DATE (the schema gives no default), and explains `cursor` is the previously returned end_cursor. These add real semantics over the bare schema.

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?

States a specific verb ('Retrieve'/'Lists') and resource ('launch posts of a Product Hunt product'), and clarifies the lookup key is the product slug. This clearly separates it from siblings like producthunt_product or producthunt_category_products without opening a schema.

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?

Gives clear operating context: look up by slug in `id`, `order` defaults to DATE, and pass the returned `end_cursor` as `cursor` for the next page. It does not explicitly name an alternative tool or exclusion, so it stops short of a 5.

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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