Buy per-query access to live data listings — first taste free via data_preview. Listing: HuggingFace New Model Release Tracker (hfmodelwatch) (0.01 USDC/query (max 20 queries/session)). Open a prepaid session, then fund and query.
| Name | Required | Description | Default |
|---|---|---|---|
| listing_id | Yes | ||
| max_queries | No | ||
| open_tx_hash | No | ||
| buyer_address | Yes | ||
| proof_escrow_id | No |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With annotations only providing false hints, the description carries the behavioral burden. It discloses that this is a paid, prepaid, per-query purchase with a 20-query session limit, which are significant behavioral traits. It does not mention wallet/authentication requirements or how payment is collected, but the core monetary side effect is clearly stated.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short and front-loaded with the core purpose and free-preview alternative. The listing-specific pricing block adds useful context but is somewhat extraneous if the tool is meant to work generically. Overall, it is efficient and structured well.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool has five parameters, no output schema, and minimal annotation detail, so the description needs to explain session open results and how to use returned identifiers in later steps. It provides a high-level workflow but omits return values, required buyer address semantics, and the role of optional transaction/escrow fields. This leaves an agent under-equipped to invoke and follow up correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must compensate, but it does not explain the required buyer_address or optional open_tx_hash and proof_escrow_id. It only loosely maps to listing_id and max_queries through the concrete listing and 'max 20 queries/session' phrase. Most parameters remain semantically unexplained.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a clear operation: buy per-query access and open a prepaid data session. It references the data_preview sibling as the free alternative, distinguishing the paid entry point, and implies the subsequent fund/query steps via sibling names. However, it hardcodes one listing (hfmodelwatch) rather than making clear the tool accepts any listing_id, so it is not fully generic.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives workflow context: try data_preview first, then open a prepaid session, then fund and query. This implies when to use this tool relative to the free preview and the downstream session tools. It does not explicitly state exclusions or when not to use it, but the context is reasonably clear.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
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.
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.
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.
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.