Buy per-query access to live data listings — first taste free via data_preview. Listing: producthuntwatch: new Product Hunt launches, hourly (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?
Annotations already flag the operation as read-only, idempotent, and non-destructive, so the description only needs to add context. It discloses the return behavior (fund instructions), the prerequisite, the listing cadence, and the per-query price. The word 'Buy' could imply a side effect, but 'Returns fund instructions' keeps it consistent with readOnlyHint.
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 packed sentences with no filler; the core action, prerequisite, alternative, price, and output are all present. It loses a point because 'Buy per-query access' as the opening phrase is slightly ambiguous given the tool only returns instructions.
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 tool with strong annotations and a schema-described session_id, the description is nearly complete: it states the prerequisite, output type, price, and free alternative. The remaining gap is not explaining the relationship or sequence with data_session_fund or data_session_attach_escrow, which matters in this sibling cluster.
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?
With 100% schema description coverage, the schema already documents session_id as the UUID from data_session_open. The tool description reinforces the prerequisite but adds no new parameter-level meaning beyond the schema, so the baseline of 3 is appropriate.
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 specific action and resource: buying per-query access for a named listing (producthuntwatch) and returning fund instructions. It also points to data_preview as the free alternative, but it does not clearly distinguish this tool from sibling data_session_fund or data_session_attach_escrow, so it is not fully differentiated.
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 an explicit prerequisite ('after data_session_open') and directs free first use to data_preview. It does not, however, explain when to prefer this package over the related funding/attach siblings, so the guidance is clear but incomplete.
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.
Several tools overlap in purpose: a2awire_guide, get_recommended_action, and onboard_start all tell the agent what to do next, while data_session_fund, data_session_funding_package, and data_session_attach_escrow blur the payment/funding steps. Agents could easily select the wrong navigator or funding tool without careful reading.
Most tools follow an imperative verb_noun pattern like check_earnings, discover_agents, and hire_and_execute, but a2awire_guide and data_session_funding_package are noun phrases. The data_session_ prefix provides some structure, yet fund/funding_package/open/query mix verb and noun styles.
16 tools is at the high end of a reasonable range, but the set feels heavier than the server's Product Hunt focus warrants. Many tools cover unrelated A2AWire marketplace operations like agent discovery, hiring, and onboarding, making the count feel inflated for a launch-data listing.
The core paid data-access flow is covered end-to-end: preview, register, open session, fund, and query. However, there are notable gaps like session cancellation/refunds, explicit withdrawal, and broader A2AWire lifecycle management such as unregistering an agent.