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RigorLoop Research Bounties

Quote Research Bounty Funding

get_funding_quote
Read-onlyIdempotent

Calculate the current poster-paid 10% RigorLoop fee and Base/USDC total for an expert reward. When x402 is enabled it is quoted first with no added rail fee; otherwise the tool returns Stripe-hosted USDC pricing. This is read-only and never creates a payment.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
payment_methodNoAgent-native hosted USDC payment on Base.usdc_base
bounty_amount_centsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okYes
dataNo
toolYes
errorNo
statusYes
requestIdYesStable RigorLoop request identifier for support and integration feedback.
nextActionNo

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already indicate read-only and idempotent behavior; the description adds valuable detail about the fee formula, rail selection (x402 vs Stripe-hosted USDC), and explicitly states it never creates a payment. This is context beyond annotations, with no contradiction.

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?

Three sentences, front-loaded with the primary purpose. Every sentence adds meaningful detail (fee, currency, rail condition, safety guarantee) with no redundancy or filler.

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 the presence of an output schema, the description does not need to detail return values. It covers the core calculation, conditional behavior, and safety profile, making it complete for this relatively simple quote tool.

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?

Schema coverage is 50% with payment_method having a description and bounty_amount_cents having constraints. The description adds context about the 10% fee but does not directly explain parameter formats or relationships. It provides some value but does not fully compensate for the uncovered parameter.

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 clearly states the tool calculates a fee and total for an expert reward, specifying the 10% RigorLoop fee and Base/USDC currency. It distinguishes itself from sibling tools like fund_research_bounty by explicitly noting it is a quote-only, read-only operation.

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 implies this is the correct tool for obtaining a pre-payment quote, especially with the conditional logic for x402 vs Stripe. It lacks explicit alternatives or when-not-to-use guidance, but the context is clear enough for an agent to select it before funding.

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

A4.4/5.0
Disambiguation5/5

Each tool targets a distinct entity or action: draft creation, funding, quote, file upload, applications, expert selection, result viewing/acceptance, status, and search. There is no overlap or confusion between tools.

Naming Consistency5/5

All tool names follow a consistent verb_noun snake_case pattern, using clear verbs like create, fund, get, list, prepare, complete, accept, select, search, and report. The pattern is uniform across the entire set.

Tool Count5/5

Twelve tools is appropriate for a research bounty platform, covering the full workflow without redundancy. Each tool has a clear role, and the count is within the ideal range.

Completeness5/5

The tool set covers the complete bounty lifecycle: draft creation, funding, file upload, applications, expert selection, status tracking, result review, and acceptance/contest. It also includes a quote and a search function for public bounties, plus a feedback channel, leaving no obvious gaps.

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