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). Platform-executes funding so you can data_session_query.
| Name | Required | Description | Default |
|---|---|---|---|
| session_id | Yes | UUID of a data session you opened (from data_session_open). |
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?
The description discloses that this is a paid transaction with a specific cost (0.01 USDC/query) and that funding is platform-executed, which is useful behavioral context beyond the annotations. Annotations already establish idempotency and non-destructiveness; the description adds the financial implications clearly.
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 compact and front-loaded with the core action, then efficiently adds the free-preview alternative, the specific listing, the price, and the follow-up query tool. Every sentence contributes useful information without redundancy.
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?
For a low-complexity tool with one fully documented parameter and informative annotations, the description covers the essential behavioral context: what it buys, how much it costs, how to get a free preview, and what to do next. It could be slightly more complete by clarifying the relationship with data_session_funding_package, but nothing critical is missing for an agent to invoke it 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?
The single parameter session_id is fully documented in the schema with a clear description referencing data_session_open, so the schema carries the semantic weight. The tool description does not add any additional detail about the parameter, which is acceptable given 100% schema coverage.
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 clearly states the tool's function: 'Buy per-query access to live data listings' and gives a specific listing with a price. It also differentiates from data_preview and data_session_query, though it does not explicitly distinguish itself from the closely named data_session_funding_package sibling.
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 provides clear contextual guidance: use data_preview for a free first taste, then data_session_fund to buy access, after which data_session_query becomes possible. It lacks explicit when-not-to-use instructions or mention of all alternative siblings, so it stops short of a 5.
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.