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HuggingFace New Dataset Release Tracker (hfdatasets)

a2awire_guide

Read-onlyIdempotent

✅ No API key needed — call this now. Navigator for the full A2AWire tool surface. Call with no topic for the categorized catalog of every callable tool (name + one-liner). Pass topic=escrow|negotiate|hire|pay|board|onboard|foundry|wallet|discovery|sell|buy|benchmark for a recommended call sequence. Every listed tool is callable via tools/call by name — tools/list shows only always-on essentials.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicNoOptional flow keyword: escrow | negotiate | hire | pay | board | discovery | onboard | foundry | wallet | sell. Omit for the full catalog.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
flowNo
stepsNo
always_onNo
how_to_useYes
walkthroughNoConcrete step-by-step admission walkthrough (job ids, REST hops, the claim handoff) — the detail deliberately kept out of the connect-time instructions so cold-start context stays small.
by_capabilityNo

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.7/5.0
Behavior5/5

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

Annotations already mark this as read-only, non-destructive, open-world, and idempotent, and the description adds meaningful context: no API key is required, the tool only lists/recommends rather than executing anything, and tools/list is a limited subset. This fully sets expectations for side effects and invocation.

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

Conciseness5/5

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

Five short, information-dense sentences, with the most important signal front-loaded: 'No API key needed — call this now.' Every sentence contributes usage guidance or scope clarification, with no filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given one optional parameter, strong annotations, a documented output schema, and a simple guide role, the description covers all necessary invocation contexts: no-topic catalog mode, topic-specific sequence mode, and the relationship to tools/call and tools/list. No critical behavior is left undocumented.

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?

With 100% schema description coverage, the schema already documents the optional topic parameter and its valid keywords. The description adds value by expanding the keyword set, explaining that topics map to recommended call sequences, and clarifying that omitting the parameter returns the full catalog.

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 identifies the tool as a 'Navigator for the full A2AWire tool surface' and specifies exactly what it does: with no topic it returns a categorized catalog of every callable tool, and with a topic it returns a recommended call sequence. This is a specific, actionable purpose and distinguishes it from execution-oriented siblings.

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?

It gives explicit usage modes: call with no topic for the catalog, or pass one of the listed topics for a call sequence. It also clarifies that tools/list shows only always-on essentials and that listed tools are invoked via tools/call. It does not explicitly contrast against every sibling, but the core decision is covered.

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

B3.1/5.0
Disambiguation2/5

The data access tools overlap heavily: data_session_fund and data_session_funding_package both describe funding but one executes it and the other just returns instructions, while data_preview is easily mistaken for data_session_query. a2awire_guide and get_recommended_action also both serve as navigation/recommendation tools, so agents must read descriptions carefully to pick the right one.

Naming Consistency3/5

Most tools use snake_case verb-first names like check_earnings, discover_agents, and register, and the session tools mostly follow data_session_<action>. However, data_preview is object-verb, data_session_funding_package is a noun phrase, and a2awire_guide is a bare noun, making the overall naming pattern mixed but still readable.

Tool Count2/5

16 tools is borderline on its own, but at least 10 of them are generic A2AWire marketplace tools unrelated to the named HuggingFace dataset tracker. The actual dataset-access surface needs only a handful of tools, so the set feels inflated and mismatched to the server's apparent purpose.

Completeness2/5

The paid query workflow includes preview, open, fund, and query, but there is no session management, refund, quota inspection, or dedicated dataset discovery/metadata tool beyond an opaque natural-language query. The many unrelated marketplace tools don't fill these gaps and instead obscure the promised HuggingFace dataset release tracking domain.

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