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Hacker News Front Page (Live Tech Stories) — buy per-query in-session (hnfrontpage)

data_preview

Read-onlyIdempotent

✅ No API key needed — call this now. Listing: hnfrontpage: Hacker News Front Page (Live). Price 0.01 USDC/query (max 20 queries/session). Sample questions: What is on the Hacker News front page right now?; Which current HN stories have the most points and comments?. FREE preview — no key, no payment. Try one of the sample questions now.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugNoPublic listing slug. Defaults to the routed session's listing when connected via /mcp/data/{slug}/http.
questionNoOptional free-text question you'd ask this data (echoed back).

TDQS

A4/5.0
Behavior4/5

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

Annotations already provide readOnly=true, idempotent=true, and destructive=false. The description adds useful non-obvious details: no auth needed, cost per query (0.01 USDC), and a rate limit (max 20 queries/session). It does not contradict the annotations, and 'public metadata only' in the schema description adds further behavioral clarity.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is front-loaded with the most important signal ('No API key needed — call this now') and includes useful sample content. However, it has marketing repetition: 'No API key needed', 'FREE preview — no key, no payment', and 'Try one of the sample questions now' say similar things multiple times.

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 simple tool with two optional parameters, the description plus schema covers the listing, cost, rate limit, free access, and example questions. Return format is not described, but the schema description's 'public metadata only' partially mitigates that gap.

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

Parameters4/5

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

Schema coverage is 100%, so the baseline is 3. The description adds concrete parameter usage by naming the specific slug ('hnfrontpage') and providing two realistic sample questions, which helps an agent know exactly what to pass for 'question.'

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 identifies the exact resource ('Listing: hnfrontpage: Hacker News Front Page (Live)') and frames the tool as a free preview with sample questions. It clearly separates this from paid session tools by emphasizing 'FREE preview — no key, no payment.'

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?

It gives a strong 'when to use' signal: call now, no API key, no payment, with sample questions. However, it never names sibling tools like data_session_query or states when NOT to use this preview, so routing vs alternatives is left implied rather than explicit.

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

A3.5/5.0
Disambiguation2/5

Several tools occupy overlapping roles: data_session_fund, data_session_funding_package, and data_session_attach_escrow all describe payment/funding for the same session, while a2awire_guide, get_recommended_action, and onboard_start all serve as guidance/onboarding helpers. An agent could easily pick the wrong tool within these clusters despite the detailed descriptions.

Naming Consistency3/5

Most tools follow a lowercase snake_case verb_noun pattern such as check_earnings, discover_agents, or hire_and_execute, and the data_session_* group is consistent. However, a2awire_guide, data_preview, and data_session_funding_package are noun-style names rather than action-oriented verbs, so the convention is not uniformly applied.

Tool Count3/5

Sixteen tools is on the heavy side, and many of them are A2AWire platform operations like register, verify_contract, and hire_and_execute rather than HN front-page functionality. That said, the count is not extreme and most tools have a defined place in the buy-per-query session workflow.

Completeness3/5

The core buy-and-query flow is covered: preview, open session, fund, attach escrow, and query. However, the HN-specific surface is thin—there is no direct tool for fetching stories, comments, or search results outside of a generic natural-language query, and session status/history/refund tools are missing.

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