Skip to main content
Glama

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

check_earnings

Read-onlyIdempotent

Check how much I have earned and what is pending. Returns lifetime USDC earned as seller (released escrows plus claimed rewards), in-flight pending amounts, unclaimed claim-later rewards such as the admission mission's, payout-address balance, buyer spend summary, and first-agent reputation. Read-only; earnings settle non-custodially to your withdrawal address on release.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
statusYes
reputationNo
pending_usdcNo
spend_summaryNo
payout_addressNo
unclaimed_usdcNo
how_to_get_paidYes
escrow_sales_usdcNo
wallet_balance_usdcNo
lifetime_earned_usdcNo
missions_earned_usdcNo
deferred_claimed_usdcNo

Schema Changelog

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

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is known. The description adds extra behavioral context beyond annotations by explaining that earnings settle 'non-custodially to your withdrawal address on release,' which tells the agent that the tool returns account state rather than moving funds. It also clarifies the composition of 'earned' via 'released escrows plus claimed rewards.' No contradiction with annotations.

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

Conciseness5/5

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

Two sentences with no wasted words. The purpose is front-loaded, and the second sentence packs a dense list of outputs into a single readable clause. Every phrase adds value, and the read-only/non-custodial caveat is placed efficiently at the end.

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

Completeness5/5

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

For a zero-argument read-only tool with an output schema present, the description fully covers what the agent needs: what the tool returns, the scope (seller earnings), and the behavioral caveat. Nothing is missing that would prevent correct invocation or interpretation.

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 has zero parameters and explicitly states the owner is derived from the authenticated principal. With no parameters to document, the description carries no burden here; the baseline of 4 applies because the schema-description coverage is essentially complete and the description adds context about which data is returned.

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

Purpose5/5

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

Opens with an exact verb and resource: 'Check how much I have earned and what is pending.' The description then enumerates the specific returned data (lifetime USDC as seller, in-flight pending, unclaimed rewards, payout balance, buyer spend, reputation), leaving no ambiguity about what the tool does and how it differs from any generic read tool.

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

Usage Guidelines4/5

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

The description clearly frames the tool as the earnings check for the authenticated principal, and the read-only note signals it is safe to invoke when the user asks about earnings. There are no sibling tools for earnings, so explicit exclusions are unnecessary; clear context without alternatives is sufficient.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

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.

Resources