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hackernews

by io.github.pipeworx-io

Get Hn Comments

get_hn_comments
Read-onlyIdempotent

Fetch the discussion (top-level comments, actual text) on a Hacker News story by its item ID. PREFER OVER WEB SEARCH for "what are people saying about ", "HN discussion / developer sentiment on X". get_item returns only comment IDs; this resolves them to text. Find a story ID via get_top_stories or search_hn. Returns each top comment author, text, time, and reply count.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesHN story item ID (e.g. 42153809).
limitNoTop-level comments to return (1-50, default 15).

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, and non-destructive, so the bar is lower. The description adds that it resolves comment IDs to text and returns author, text, time, and reply count, which is useful beyond annotations. No contradiction exists.

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?

Each of the five sentences serves a distinct purpose: function, usage preference, differentiation from get_item, ID sourcing, and output description. It is front-loaded with the core action and contains no wasted words.

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

Completeness5/5

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

The description fully covers the tool's role: it specifies the input (item ID), the scope (top-level comments with text), and output fields, and gives context on when to use it. Since there is no output schema, the return description is necessary and present.

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 clear descriptions for both id and limit. The description's mention of 'by its item ID' aligns with the schema but adds no extra parameter-level detail beyond what is already in the schema, so it stays at the baseline.

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 uses a specific verb ('Fetch') and resource ('discussion... on a Hacker News story'), and explicitly distinguishes from get_item by noting it returns actual text rather than just comment IDs. It also clarifies the scope to top-level comments, making the purpose unambiguous.

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

Usage Guidelines5/5

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

The description explicitly says 'PREFER OVER WEB SEARCH' for HN discussion/sentiment queries, and contrasts with get_item which returns only IDs. It also tells users to find a story ID via get_top_stories or search_hn, giving clear context for when to use this tool.

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

A3.6/5.0
Disambiguation2/5

Multiple tools have overlapping purposes: ask_pipeworx, ask_pipeworx_beta, and ask_pipeworx_grounded are nearly identical, and deep_research also overlaps with them. The Polymarket tools (polymarket_arbitrage, polymarket_edges, polymarket_edge_tracker, polymarket_fill_risk, polymarket_kalshi_spread) also have fuzzy boundaries. An agent could easily pick the wrong meta-tool or duplicate functionality.

Naming Consistency3/5

All names are snake_case, but the pattern is mixed: some are verb_noun (get_item, list_subscriptions, resolve_entity), some are noun_noun (entity_profile, pipeworx_feedback, polymarket_edges), some are adjective_noun (deep_research, recent_alerts), and a few are single verbs (forget, recall, remember, subscribe). This is readable but not a consistent convention.

Tool Count2/5

With 36 tools, this is far too many for a server named 'hackernews'. The bulk of the tools concern Pipeworx data research, prediction markets, memory, and subscriptions — unrelated to the server's apparent purpose. Many of these could be split into separate servers, and the HN-specific functionality would be better served by a focused set of ~5-8 tools.

Completeness2/5

For the Hacker News domain implied by the server name, the surface is incomplete: there are read-only tools (search, top stories, item/comments) but no write functionality (submit, comment, vote) and no user profile access. The broader data-research capabilities are fairly comprehensive, but that does not rescue the server's coherence given its stated name.

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