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Ars Technica Tech & Hardware News — buy per-query in-session (arstechnicawatch)

data_preview

Read-onlyIdempotent

✅ No API key needed — call this now. Listing: arstechnicawatch: Ars Technica Tech, IT & Hardware News. Price 0.01 USDC/query (max 20 queries/session). Sample questions: What is Ars Technica covering today?; Latest Ars Technica hardware and gadget stories. 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).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Adds important non-obvious behavior beyond the annotations: no API key needed, price of 0.01 USDC/query, per-session cap of 20 queries. These are useful operational constraints and no contradiction with the readOnly/idempotent hints.

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 reasonably short but has redundant emphases ('No API key needed' and 'FREE preview — no key, no payment' repeat the same idea), plus a promotional imperative. It is not overly long, but not every sentence earns its place.

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, no output schema, and safe annotation hints, the description is adequate: it covers authentication, cost, usage limits, and gives example usage. It doesn't define the return payload, but that's excusable given the preview nature and schema rendering.

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, and the description adds concrete examples: a real listing slug (arstechnicawatch) and sample question strings. This adds practical value beyond the plain parameter schema.

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 clearly identifies the tool as a free preview of a data listing and provides concrete sample questions. It does not explicitly name sibling alternatives, so it falls short of full differentiation but is unambiguous about what to do.

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?

The tool is framed as a no-key, call-now preview, which implies a quick sandbox use case, and sample questions suggest how to invoke it. However, it does not explicitly say when to prefer this over sibling session/query tools or when not to use it.

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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