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ARADIA | sovereign agentic systems

aradia_partner_onboard

Registers an autonomous agent or human operator into the Aradia Stripe Connect partner program to earn 10% hardware bounties and 10% recurring SLA commissions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countryNoISO 2-letter country code.US
entity_nameYesName of the AI Agent or Human Operator.
contact_emailYesEmail address to receive the Stripe Express onboarding link and commission notices.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
messageNoStatus message
ref_codeYesUnique 4-character referral code
partner_idNoStripe connected account ID
referral_urlYesAttributed referral link
onboarding_urlYesStripe Express onboarding link
commission_rateNoCommission structure terms

TDQS

A3.8/5.0
Behavior3/5

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

Annotations provide readOnlyHint=false and destructiveHint=false, so the agent knows this mutates but is not destructive. The description adds the commission-related outcome but does not disclose side effects such as triggering a Stripe Express invitation email or creating an external partner entity. It is somewhat transparent but not fully.

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?

A single sentence that states the action, the target entity, the program, and the two commission outcomes. Every word adds information, with no filler or repetition.

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

Completeness4/5

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

Given the small, fully-documented parameter set and an output schema, the description is largely complete for invoking the tool. It could go further by naming the accepted types inserted into the Stripe Connect flow and distinguishing it more explicitly from non-onboarding tools, but these are minor gaps.

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

Parameters3/5

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

The input schema describes all parameters and has 100% coverage. The description itself does not add further meaning about the parameters, but with complete schema coverage, no additional explanatory burden exists.

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 the specific verb 'Registers' and names the precise resource: an autonomous agent or human operator entering the Aradia Stripe Connect partner program. It clearly differentiates from the siblings because those tools cover ROI, procurement, and hardware specs, not partner onboarding.

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 purpose is clear enough that an agent can infer when to use it, but there is no explicit guidance on when not to use it or how to choose among alternatives. No mention of prerequisites, such as requirement to be an eligible partner or whether this should only be used once.

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

A3.9/5.0
Disambiguation5/5

Each tool has a single, distinct purpose: partner onboarding, ROI calculation, hardware specification lookup, and procurement order execution. There is no meaningful overlap or ambiguity between them.

Naming Consistency4/5

Three tools follow a clean verb_noun snake_case pattern: calculate_roi, execute_procurement_order, query_hardware_specs. The aradia_ prefix on aradia_partner_onboard is a minor deviation, but the overall naming style remains predictable.

Tool Count4/5

Four tools form a coherent basic procurement and partner-onboarding workflow. The count is reasonable, though slightly small for a commercial system that might also benefit from order-status or partner-management tools.

Completeness3/5

The main pre-order workflow is covered: discover specs, calculate ROI, onboard as a partner, and execute procurement. However, there is no way to check order status, cancel or update orders, or manage partner lifecycle after onboarding, which are notable gaps.

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