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Hacker News Trending

hn_show_recent

Recent Show HN launches with at least N points in the last K days. Useful for tracking new product launches in the indie/AI ecosystem.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
days_agoNo
min_pointsNo

TDQS

B3.3/5.0
Behavior2/5

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

No annotations provided, so description carries full burden. Only states minimal filtering criteria (points, days) but omits behavioral traits like sorting, pagination, or return format. For a data-fetching tool, this is insufficient.

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 concise sentences, front-loaded with key information. No redundant phrases. Every sentence adds value.

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

Completeness2/5

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

Given no output schema, no annotations, and 3 parameters with 0% schema coverage, the description lacks completeness. No explanation of return format, ordering, or result limits beyond implied filtering.

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

Parameters2/5

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

Schema has 0% description coverage. Description only explains 'N points' and 'K days' for two parameters (min_points, days_ago) but ignores 'limit' entirely. Adds minimal meaning beyond parameter names.

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?

Description clearly states it returns recent Show HN launches with filtering by points and days. It distinguishes itself from generic sibling tools like hn_item, hn_search, hn_top, and hn_user by focusing on a specific category ('Show HN').

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?

Description mentions usefulness for tracking new product launches in indie/AI ecosystem but does not explicitly state when to use this tool versus alternatives, nor provides exclusions or prerequisites.

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

A3.8/5.0
Disambiguation5/5

Each tool targets a distinct HN resource: item by ID, full-text search, recent Show HN posts, front-page stories, and user profiles. No functional overlap.

Naming Consistency5/5

All tools follow a consistent hn_<descriptive> pattern (e.g., hn_item, hn_search), making their purposes clear.

Tool Count5/5

5 tools is appropriate for a Hacker News server, covering essential read operations without excess or deficiency.

Completeness4/5

Covers item retrieval, search, trending, show-specific posts, and user info. Minor gap: no comment-specific tool, but core workflows are well-supported.