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run_producthunt_leaderboards

Fetch Product Hunt leaderboard rankings by day, week, month, or year, including votes, comments, topics, and product links beyond the first page.

Instructions

Launches of a Product Hunt leaderboard (day, week, month or year): rank, name, tagline, votes, comments, topics and product link, beyond the first page. 1 point per returned record.

Input Schema

NameRequiredDescriptionDefault
dateYesDate (daily 2024/1/15, weekly 2024/3, monthly 2024/3, yearly 2024). e.g. 2024/1/15
periodNoPeriod. Options: daily = Daily, weekly = Weekly, monthly = Monthly, yearly = Yearly
featuredNoFeatured only
max_itemsNoMax items (up to 250)
start_pageNoStarting page

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.0.1

TDQS

A3.6/5.0
Behavior4/5

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

With no annotations, the description carries the behavioral burden and does add meaningful context: it discloses returned fields, notes pagination 'beyond the first page,' and states a cost of '1 point per returned record.' It does not specify read-only semantics, rate limits, or error behavior, but the cost and pagination details are valuable.

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 a single front-loaded sentence that covers purpose, return fields, pagination, and cost without wasted text. Every phrase contributes useful information.

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?

For a tool with no output schema, the description lists the main return fields and explains pagination and per-record cost. It is largely complete for invocation, though it omits sibling differentiation and does not mention permissions or rate limits.

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 description coverage is 100%, so the schema already documents all five parameters, including the date format and period enum. The description reinforces the period concept and pagination but adds little parameter-level detail beyond the schema.

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?

The description states a specific resource: Product Hunt leaderboard launches for day, week, month, or year, and enumerates the returned fields. It is clear what the tool does, though it does not explicitly differentiate itself from sibling Product Hunt launch tools such as run_producthunt_launches or run_producthunt_launches_search.

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?

The description implies usage for leaderboard retrieval but gives no explicit guidance on when to use this tool versus the many sibling Product Hunt tools. It also offers no exclusions or prerequisites, leaving alternative selection to inference.

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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