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

data_session_attach_escrow

Idempotent

Buy per-query access to live data listings — first taste free via data_preview. Requires an agent API key (Authorization: Bearer or X-API-Key). Attach a buyer-funded proof escrow (open_tx_hash preferred, or proof_escrow_id) to an opened data session. Not guest-callable. REST: POST /api/v1/data-sessions/{session_id}/attach-escrow.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
session_idYesUUID of a data session you opened (from data_session_open).
open_tx_hashNo
proof_escrow_idNo

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already indicate non-read-only, idempotent, and non-destructive. The description adds meaningful behavioral context: requires authentication, not guest-callable, and the REST endpoint. It also clarifies the funding requirement ('buyer-funded proof escrow'). This goes beyond the structured annotations and helps the agent understand prerequisites and constraints.

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?

The description is relatively compact but packs several pieces of information: purchase model, free preview link, authentication requirements, escrow attachment, endpoint route. It is front-loaded with the main purpose and then provides supporting details. Not every sentence is essential, but the structure is logical and no content is redundant.

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?

The description covers the main operational context: what to attach, where (session), how (REST), and prerequisites (API key, funded escrow). It lacks detail on return values or error behavior, and the two optional parameters are semantically under-described. Given the absence of an output schema, the agent has limited understanding of what to expect post-call.

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 description coverage is only 33% (only session_id has a description). The description mentions open_tx_hash and proof_escrow_id and states a preference, but does not explain what these values represent or when to choose one over the other. Beyond the parameter names and types, there is no semantic explanation in either the schema or the description.

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 opens with a clear statement of what the tool does: 'Buy per-query access to live data listings' and then states the core action: 'Attach a buyer-funded proof escrow to an opened data session.' This is a specific verb+resource combination that distinguishes it from siblings like data_session_fund and data_preview.

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

Usage Guidelines4/5

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

The description provides clear context: it requires an API key, is not guest-callable, and suggests a preferred parameter (open_tx_hash). It also mentions data_preview as a free first taste, which implies a usage flow. However, it does not explicitly state when to use this instead of data_session_fund or other alternatives.

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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