Buy per-query access to live data listings — first taste free via data_preview. Listing: pubmedwatch: new PubMed biomedical papers (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 the platform executes funding and that access costs 0.01 USDC/query, which is consistent with readOnlyHint=false and idempotentHint=true, though it does not detail failure modes or side effects.
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 concise and well structured, with each sentence providing useful information about purpose, pricing, and workflow.
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 simple one-parameter tool with no output schema, the description plus schema provide sufficient context; return behavior is not stated but is not required here.
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 session_id parameter is fully described in the schema as a UUID from data_session_open; the description adds no further parameter-specific detail beyond what the schema already provides.
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 funds per-query access to a live data listing, names the specific listing and price, and distinguishes it from the free data_preview option.
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 mentions using data_preview for a free first taste and then data_session_query after funding, but it does not explicitly contrast with sibling tools like data_session_attach_escrow or data_session_funding_package.
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 cover the same workflow space: data_session_fund, data_session_funding_package, data_session_open, and data_session_attach_escrow all describe buying per-query access to the same listing, and register/onboard_start/a2awire_guide/get_recommended_action blur onboarding and navigation. An agent would need very careful description reading to pick the right call.
Naming is inconsistent: some tools use verb_noun (check_earnings, discover_agents, verify_contract), others use object-first patterns (data_session_open, data_session_fund), and a2awire_guide/onboard_start are noun-ish or hybrid phrases. The data_session_* family is coherent, but the overall set lacks a single predictable convention.
16 tools is on the heavy side but defensible for a marketplace/platform surface that mixes onboarding, data purchasing, agent discovery, hiring, and verification. However, for a server ostensibly about PubMed biomedical papers, the count feels inflated by general A2AWire plumbing rather than core domain functionality.
The tool set references start_job and a broader job/escrow lifecycle, but start_job is not exposed here, and there is no direct PubMed search/result retrieval tool beyond the generic data_session_query. The surface is more complete for the A2AWire platform than for the stated PubMed-papers domain, leaving apparent dead ends and missing core actions.