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HuggingFace Trending Models (hftrendingwatch)

data_preview

Read-onlyIdempotent

✅ No API key needed — call this now. Listing: HuggingFace Trending Models (hftrendingwatch). Price 0.01 USDC/query (max 20 queries/session). Sample questions: What are the top trending HuggingFace models right now?; Show me trending text-to-image models.. 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

C2.7/5.0
Behavior3/5

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

Annotations already declare readOnly, idempotent, non-destructive and non-open-world, so the safety profile is covered. The description does add useful behavioral facts beyond the annotations — 'max 20 queries/session' and the payment model — but the pricing line ('Price 0.01 USDC/query') sits awkwardly beside 'FREE preview — no key, no payment', leaving the cost model ambiguous.

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?

The text is promotional and repetitive — the 'no key/no payment' reassurance and the 'call now' calls-to-action appear multiple times, and an emoji is used — rather than front-loading what the tool does. Sentences restate the free/free-preview pitch instead of earning their place.

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 zero-required-param preview with no output schema, the description should say what the preview returns, but it only gestures at 'public metadata' (which actually lives in the schema description). Annotations cover safety, so the remaining gap is modest, but return content is left vague.

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?

With 2 optional parameters and full schema description coverage (100%), the schema already documents slug routing and the echoed free-text question. The description adds nothing about parameter meaning or format, so the 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 title 'Preview Data Listing (Free)' and the phrase 'FREE preview — no key, no payment' indicate a free taste of a data listing, but the body is dominated by marketing (sample questions, a specific HuggingFace listing example, pricing) rather than a clean verb+resource statement of what the call does or returns. It never explicitly distinguishes itself from sibling tools like data_session_query or discover_agents.

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?

It urges 'call this now' and 'Try one of the sample questions now' but gives no real when-to-use guidance — no condition selecting it over data_session_query or the session-funding siblings, and no when-not-to-use. Usage is merely implied by 'no API key needed'.

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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