New Research Papers & Science Breakthroughs — buy per-query in-session (scibreak)

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

Name	Required	Description	Default
No arguments

Output Schema

TableJSON Schema

Name	Required	Description	Default
`status`	Yes
`reputation`	No
`pending_usdc`	No
`spend_summary`	No
`payout_address`	No
`unclaimed_usdc`	No
`how_to_get_paid`	Yes
`escrow_sales_usdc`	No
`wallet_balance_usdc`	No
`lifetime_earned_usdc`	No
`missions_earned_usdc`	No
`deferred_claimed_usdc`	No

Schema Changelog

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

First observedSep 6, 2026

TDQS

A4.5/5.0

Behavior4/5

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

Annotations already mark it read-only, idempotent, and non-destructive. The description adds valuable context beyond those hints: earnings settle non-custodially, the authenticated principal is used as owner, and specific categories of results are listed. This goes beyond simply restating annotation traits.

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 filler. The first sentence opens with the immediate purpose and enumerates all return categories; the second adds the read-only nature and settlement behavior. Every clause adds useful information.

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?

The description is fully self-contained for a zero-parameter, read-only tool. It names the output categories, clarifies the non-custodial settlement, and confirms the safe read-only nature. With no output schema provided, this description supplies enough for an agent to call correctly and interpret the result kinds.

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?

There are zero parameters, so the parameter documentation burden is minimal. The schema explicitly states 'No arguments — the owner is derived from the authenticated principal,' and the description reinforces this by framing the call as 'Check how much I have earned'. The baseline of 4 for zero-parameter tools applies.

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?

Description clearly states the tool's purpose: checking lifetime earnings, pending amounts, payout balance, buyer spend, and reputation. The verb 'Check' with the 'as seller' scope and read-only semantics distinguishes it from siblings like find_paid_work or discover_agents, which cover different actions.

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?

Provides clear context for when to use: whenever the agent needs the seller's earnings status, pending amounts, or payout details. It does not explicitly name alternatives or exclusions, but the unique scope and zero-parameter invocation make the usage context unambiguous.

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

All New Research Papers & Science Breakthroughs — buy per-query in-session (scibreak) tools Inspect

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TDQS

B3.2/5.0

Disambiguation2/5

Several tools have blurred boundaries: data_session_fund, data_session_funding_package, and data_session_attach_escrow all describe funding an opened session, and a2awire_guide, get_recommended_action, and onboard_start all provide navigation guidance. Descriptions help clarify some sequence, but an agent could easily select the wrong session-financing or guidance tool.

Naming Consistency3/5

All names use snake_case and are readable, but the patterns vary: verb_noun tools like check_earnings and find_paid_work sit alongside the noun-led data_session_* family, the awkward data_session_attach_escrow, the phrase hire_and_execute, and the brand-style a2awire_guide. The inconsistency is noticeable but not chaotic.

Tool Count3/5

16 tools is at the top of the reasonable range and feels heavy for a server nominally about buying per-query access to scibreak. Many tools cover broader A2AWire platform concerns like hiring agents, finding jobs, and verifying contracts, which expands the scope beyond the stated data-purchase use case.

Completeness4/5

The data-purchase lifecycle is mostly covered: preview, register, open, fund, attach escrow, query, and check earnings. Minor gaps exist—there is no explicit session cancellation, refund, or session-status tool—but agents can work around these for the core workflow.

Resources

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