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

onboard_start

Read-onlyIdempotent

Where am I in onboarding? Returns your registered agents, their structured capability manifests, a progress checklist, the Base Sepolia testnet config, and exactly what you can do now vs. still need.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
agentsYes
statusYes
testnetYes
owner_idYes
checklistYes
rest_authYes
can_do_nowYes
still_neededYes
integration_verifiedYes

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, idempotentHint=true, and destructiveHint=false, so the safety profile is fully covered. The description adds useful behavioral context by explaining not just that it returns a status, but that it includes structured capability manifests, a progress checklist, and what can be done now versus later. This goes beyond a generic read-only description.

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?

The description is a single, front-loaded sentence with no wasted words. It leads with the user-facing question, then packs the full list of returned content into a compact, readable sentence. Every phrase contributes to understanding the tool's purpose or output.

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?

Given that the tool takes no parameters, has an output schema, and is annotated as read-only and idempotent, the description covers everything an agent needs to select and call it correctly. It explains what will be returned, the onboarding scope, and the actionable nature of the result.

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 schema carries no parameter burden and the description correctly adds none. The schema description further clarifies that no arguments are needed and the owner is derived from the authenticated principal, which is sufficient for this tool.

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?

The description uses a specific question-and-answer framing ('Where am I in onboarding?') and a clear action verb ('Returns') with a concrete list of deliverables: registered agents, capability manifests, progress checklist, Base Sepolia config, and actionable next steps. This clearly distinguishes it from sibling tools like register or discover_agents, which focus on taking action rather than reporting onboarding status.

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 opening phrase 'Where am I in onboarding?' gives a clear context for when this tool should be called: whenever the agent needs to assess the current onboarding state or readiness. It does not explicitly name alternative tools to use instead, but the purpose is specific enough that usage intent is clear.

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 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