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get show hn ai

get_show_hn_ai
Read-only

Show HN AI launches (source: Algolia HN Search API). Full current feed, refreshed daily. Requires API key.

Input Schema

NameRequiredDescriptionDefault
qNoCase-insensitive full-text filter
limitNo
sinceNoISO date; only rows created/updated on or after
offsetNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds genuinely useful behavioral context: it is a complete (not paginated-by-default) feed, it refreshes daily so freshness expectations are set, and it requires an API key, which is an auth requirement the annotations do not convey.

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?

Three tight sentences with the resource and scope front-loaded and no filler. It is efficient, though the trailing 'Requires API key' reads like an afterthought rather than integrated guidance.

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

Completeness3/5

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

With no output schema, the description carries the burden of explaining what comes back, and it does not (item shape, fields, ordering). It also never explains how 'full feed' interacts with the limit/offset parameters available in the schema, leaving a real gap for correct invocation.

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 only 50%: 'q' and 'since' are documented in the schema while 'limit' and 'offset' are not. The description adds no parameter guidance at all, so the two undocumented pagination parameters are left to inference — though they are largely self-evident integers with defaults, which keeps this at minimum-viable rather than poor.

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 names a specific verb+resource ('Show HN AI launches') and identifies the upstream source (Algolia HN Search API), which cleanly separates it from siblings like get_github_ai_repos, get_hf_trending and get_mcp_servers. It stops short of explicitly contrasting itself with an alternative tool, which is the only thing keeping it from a 5.

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?

'Full current feed, refreshed daily' implies this is the unfiltered baseline that per-query siblings narrow down, but the description never states when to reach for this tool instead of the other feed tools. No exclusions or prerequisites beyond the API-key note.

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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