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List Hacker News user comments

hackernews_user_comments_list
Read-only

List a Hacker News user's comments (newest first). Accepts a username. Returns a list (use page/pageSize when paginated).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoZero-based page index (maximum 50 pages, up to 1,000 hits).
limitNoHits per page (1–50). Default: 20. Prefer this over `pageSize`.
pageSizeNoDeprecated alias for `limit`. When both are set, `limit` wins.
usernameYesHacker News username (case-sensitive).

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, covering safety and scope. The description adds that it returns a list and hints at pagination ('use page/pageSize when paginated'). However, it does not elaborate on error behavior, rate limits, or what happens for invalid usernames, so it adds only modest value beyond annotations.

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 highly concise—three short clauses that front-load the core purpose, then add return type and pagination notes. There is zero waste, and every piece of information earns its place.

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?

For a simple list tool, the description is adequate but not complete. It doesn't differentiate from sibling user-related lists, doesn't mention that 'limit' is preferred over 'pageSize', and doesn't describe the list items' content beyond being comments. With no output schema and a simple use case, a 3 reflects that it covers the essentials but leaves some contextual gaps.

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%, with all parameters described in the input schema. The description repeats 'username' and adds a pagination hint, but it does not clarify the preference for 'limit' over 'pageSize' (as mentioned in the schema) or provide any additional semantic context beyond what the schema already offers. Baseline 3 is appropriate.

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?

The description states a specific verb ('List'), resource ('a Hacker News user's comments'), and ordering ('newest first'). It is unambiguous and easily distinguished from sibling tools like hackernews_user_submissions_list or hackernews_story_comments_list by the clear 'user's comments' phrasing.

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?

There is no guidance on when to use this tool versus alternatives. It does not mention exclusions, prerequisites, or why an agent should choose this over hackernews_user_favorites_list or other user-related list tools. The usage context is only implied by the name and description.

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

B3.4/5.0
Disambiguation5/5

Each tool is clearly scoped to a specific platform and action (e.g., facebook_post_get vs instagram_post_get). Descriptions explicitly differentiate similar tools across platforms, and within-a-platform tools like tiktok_search_videos_list vs tiktok_search_hashtag_list have clear disambiguation notes.

Naming Consistency5/5

All 167 tools follow a strict `platform_resource_action` pattern (e.g., youtube_video_comments_list). No mixing of styles—snake_case throughout, with consistent verb ordering (get, list, search, etc.).

Tool Count2/5

The server has 167 tools, which is far beyond the typical well-scoped range of 3-15. While the broad multi-platform scope justifies many tools, this extreme number makes the tool surface overwhelming and difficult for an agent to navigate efficiently.

Completeness4/5

The tool set covers a wide range of platforms and operations including profile retrieval, post/video fetching, comments, search, transcripts, and ad library access. Minor gaps exist (e.g., no Facebook events or LinkedIn messaging), but the surface is comprehensive for a read-only data aggregation use case.