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Official NVIDIA Newsroom: GPU & AI-Chip Announcements — buy per-query in-session (nvidiawatch)

data_preview

Read-onlyIdempotent

✅ No API key needed. Listing: nvidiawatch: Official NVIDIA Newsroom Announcements. Price 0.01 USDC/query (max 20 queries/session). Sample questions: What did NVIDIA announce most recently?; Show the latest NVIDIA press releases and GPU announcements. FREE preview — no key, no payment. Try one of the sample questions now.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "data_preview"
  }
}

Input 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

C2.9/5.0
Behavior4/5

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

Annotations already establish readOnly, idempotent, non-destructive, and closed-world behavior, so the bar is lower. The description nevertheless adds real behavioral context beyond them: no API key required, cost of 0.01 USDC/query, and a rate limit of max 20 queries/session. It does not say what the preview actually returns, which keeps it from a 5.

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

Conciseness2/5

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

It is front-loaded with a checkmark and the free/no-key claim, but the same point is restated three times ("No API key needed", "no key, no payment", "FREE preview"). Pricing, rate limits, and two sample questions are packed into a single dense paragraph with no structural separation, and marketing filler crowds out substance.

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 two-parameter, no-output-schema, read-only tool, this covers cost and access model reasonably, and annotations carry the safety profile. However, it never clarifies what the preview returns (public metadata only appears in the schema) or how it relates to the session/funding tools that would follow it, leaving a real gap for a 16-tool surface.

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 description coverage is 100%, with the slug default and the optional echoed question fully documented in the schema. The description adds no new meaning about either parameter; the sample questions only loosely illustrate the 'question' field. Baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description identifies the resource ("nvidiawatch: Official NVIDIA Newsroom Announcements") and signals a free preview / listing, so an agent can infer the general domain. But it never states a clean verb+resource ("retrieve a free sample of a listing's public metadata") and is dominated by pricing and marketing text, so the actual operation is inferred rather than declared.

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 explicit statement of when to call this versus siblings such as data_session_query, data_session_open, or discover_agents, even though those are the obvious alternatives for querying data. Sample questions imply usage but no exclusions or preconditions (e.g., 'use before funding a session') are given.

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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