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Glama

HuggingFace New Model Release Tracker (hfmodelwatch)

by com.a2awire

data_preview

Read-onlyIdempotent

✅ No API key needed — call this now. Listing: HuggingFace New Model Release Tracker (hfmodelwatch). Price 0.01 USDC/query (max 20 queries/session). Sample questions: What are the newest HuggingFace models released today?; Show me recent text-generation model releases.. 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. Dates show when Glama detected each change.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already cover readOnly, idempotent, and non-destructive behavior. The description adds meaningful context beyond annotations: no API key required, a session query cap ('max 20 queries/session'), and that the preview is free with no payment. This is useful operational transparency.

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 description is repetitive and promotional: 'No API key needed — call this now' is echoed by 'FREE preview — no key, no payment', and 'Try one of the sample questions now' adds little. The key facts are front-loaded, but the extra filler and emojis make it less concise than ideal.

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 simple, optional-parameter tool this is mostly sufficient: it explains that no key/payment is needed and gives sample questions. However, since there is no output schema, the description never states what the preview actually returns beyond implying it answers questions about new HuggingFace models.

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%, so the schema already documents both 'slug' and 'question'. The description adds example questions that illustrate what the 'question' parameter can contain, which is helpful, but it does not add detail beyond that.

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 identifies the resource ('HuggingFace New Model Release Tracker') and the action ('FREE preview' / 'call this now'), making the tool's purpose reasonably clear. It does not explicitly contrast itself with sibling tools like data_session_query, so it loses the last point.

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 strongly signals when to use this tool: 'No API key needed — call this now' and 'FREE preview — no key, no payment.' It tells the caller this is a guest-callable, no-cost taste of a listing. It does not explicitly state when to use paid alternatives, but the context is clear enough.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

All HuggingFace New Model Release Tracker (hfmodelwatch) toolsInspect
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TDQS

A3.6/5.0
Disambiguation3/5

Most tools target distinct actions, but the data_session funding family overlaps (data_session_fund, data_session_funding_package, data_session_attach_escrow), and a2awire_guide vs get_recommended_action both provide navigation/recommendations. Descriptions are detailed enough to distinguish them with careful reading.

Naming Consistency4/5

The set is mostly consistent snake_case verb_noun (check_earnings, get_agent_contract, data_session_query) with a clear data_session_* prefix family. Minor deviations like a2awire_guide, register, and onboard_start prevent a perfect score.

Tool Count3/5

At 16 tools the set is on the heavy side, and many are generic A2AWire platform tools rather than HF model tracking tools. They may be individually useful, but the set feels over-scoped for a server named as a HuggingFace release tracker.

Completeness3/5

The core paid data-access flow is present (preview, open, fund, attach escrow, query, check earings), but the HF tracking surface is thin: no direct model listing/search tools, session management, or data schema discovery. The A2AWire tools fill out a marketplace but not the tracker domain.

Resources