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Product Hunt MCP Server

Product Hunt MCP Server

by Jing-yilin
OverviewSchemaSourceRelated ServersDiscussionsAdmin
JavaScript
Remote

get_post

Retrieve a Product Hunt post by ID or slug. Returns cleaned data in a structured format.

Instructions

Get a Product Hunt post by ID or slug. Returns cleaned data in TOON format.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "get_post"
  }
}

Input Schema

NameRequiredDescriptionDefault
idNoPost ID
slugNoPost slug
save_dirNoDirectory to save cleaned JSON data

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.2.0

TDQS

A3.8/5.0
Behavior3/5

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

No annotations provided, so description carries the burden. Discloses return format ('cleaned data in TOON format') but omits auth requirements, rate limits, or side effects. For a read operation, this is adequate but not comprehensive.

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?

Two sentences, front-loaded with purpose, no extraneous information. Efficient and clear.

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?

Covers core functionality and return format. Lacks explanation of 'TOON format' and optional save_dir usage. With 3 optional parameters and no output schema, this is mostly sufficient but missing minor details.

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%, baseline 3. Description adds context by specifying 'by ID or slug' (linking to parameters) and mentioning TOON format beyond the schema. However, save_dir is not explained in description, but schema covers it.

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?

Clearly states the tool retrieves a Product Hunt post by ID or slug and returns data in TOON format. Distinguishes from sibling tools like get_posts and get_post_comments.

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

Usage Guidelines2/5

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

No guidance on when to use ID vs slug, or when not to use this tool. No alternatives mentioned, leaving the agent to infer usage from context.

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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