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run_producthunt_products

Fetch a Product Hunt product by slug or URL to retrieve its tagline, description, ratings, reviews, followers, categories, makers, awards, and similar products.

Instructions

Get one product from Product Hunt by slug or URL: tagline, description, website, rating, review count, followers, launches, categories, social links, pros and cons, makers, awards and similar products. Flat 5 points per successful run.

Input Schema

NameRequiredDescriptionDefault
productYesProduct slug or Product Hunt URL. e.g. notion

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.0.1

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It usefully discloses two behavioral traits: the cost model ('Flat 5 points per successful run') and the shape of the returned payload. But it says nothing about error/failure behavior (e.g. invalid slug) or what 'successful' excludes, leaving a real gap for a no-annotation tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

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

Two sentences, front-loaded with purpose and identifier before the payload listing and cost. The long field enumeration is slightly dense but every clause adds either scope or returned content, with no filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

There is no output schema, so the description rightly enumerates the returned fields, covering that gap well. Missing pieces are behavioral: failure modes and auth/permission expectations, which matter given the absence of annotations, keeping it short of a 5.

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% and the single parameter's description already states 'Product slug or Product Hunt URL. e.g. notion'. The description's 'by slug or URL' merely restates that, adding no new syntax or format guidance, so the baseline 3 applies.

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?

States a specific verb and resource ('Get one product from Product Hunt by slug or URL') and enumerates the returned fields. The singular 'one product' implicitly distinguishes it from run_producthunt_products_search, but no sibling is named explicitly, leaving differentiation to inference.

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

Usage Guidelines3/5

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

The slug-or-URL trigger implies when to use it (you already know the product), which is adequate usage guidance. However, there is no explicit when/when-not statement and no reference to alternatives like run_producthunt_products_search for discovery.

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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