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). Returns fund instructions after data_session_open.
| 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?
Beyond the readOnly/idempotent annotations, it discloses the output (fund instructions), the prerequisite (after data_session_open), the listing, and the cost. The opening "Buy" is slightly misleading for a readOnly operation, but the explicit "Returns fund instructions" clarifies the non-mutating behavior.
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?
Two dense sentences with no filler; each clause adds value: free preview, listing name, price, return type, and prerequisite.
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 one-parameter read-only tool with no output schema, the description covers purpose, prerequisite, price, listing, and return type. It leaves the structure of the fund instructions unspecified, but the simple context and annotations make the definition adequate.
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 coverage is 100% and the schema already documents session_id as a UUID from data_session_open. The description adds the same prerequisite but no additional semantic detail about the parameter, so the baseline 3 applies.
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 names a concrete action/resource: buying per-query access to a specific live listing (HuggingFace New Model Release Tracker) at a stated price, and says it returns fund instructions. It is not a tautology and references the specific listing, but "Buy" versus "Returns fund instructions" blurs whether the tool executes the purchase or only provides payment guidance, and it does not explicitly distinguish itself from data_session_fund or data_session_attach_escrow.
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?
It gives a clear sequence: use data_preview for a free first taste and call this after data_session_open. It does not spell out when to prefer this over data_session_fund or data_session_attach_escrow, but the prerequisite and free-preview alternative provide usable context.
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.