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PubMed Biomedical Papers — new research articles ($0.01/query)

data_preview

Read-onlyIdempotent

✅ No API key needed — call this now. Listing: pubmedwatch: new PubMed biomedical papers. Price 0.01 USDC/query (max 20 queries/session). Sample questions: What biomedical papers were just indexed on PubMed?; Show new clinical trial publications from today. FREE preview — no key, no payment. Try one of the sample questions now.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugNoPublic listing slug. Defaults to the routed session's listing when connected via /mcp/data/{slug}/http.
questionNoOptional free-text question you'd ask this data (echoed back).

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true and idempotentHint=true; the description adds useful constraints: no API key required, 0.01 USDC/query, max 20 queries/session. This goes beyond annotations and clarifies pricing/rate limits without contradicting them.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is about 50 words and front-loads the key 'no key needed' message, but it repeats 'FREE preview — no key, no payment' after already saying no API key needed. The promotional tone and redundancy prevent a higher score.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with two optional parameters and no output schema, the description provides pricing, examples, and listing identity, but it never states what the response contains (e.g., a sample of matching public metadata). The schema description covers 'public metadata only,' but the main description alone is not fully self-sufficient.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema already documents both optional parameters (slug and question), so the baseline is 3. The description adds concrete sample question strings that map directly to the question parameter, which helps an agent formulate valid input.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description identifies the resource (pubmedwatch listing) and the action (free preview, sample questions), so an agent can tell it's a preview tool. It lacks an explicit verb phrase like 'preview a data listing' and doesn't contrast with sibling query tools, so it isn't a 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description tells when to call ('no API key needed', 'FREE preview') and suggests sample questions, but it never mentions when not to use it or names alternatives such as data_session_query. The usage context is implied rather than explicit.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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TDQS

B3.2/5.0
Disambiguation2/5

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 Consistency2/5

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.

Tool Count3/5

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.

Completeness2/5

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.

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