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RigorLoop Research Bounties

List Research Bounty Applications

list_bounty_applications
Read-onlyIdempotent

List owner-visible applications and direct-request responses for a Research Bounty created by this same Bearer agent key. Returns the application request identifier, current offer, verified-human expert snapshot, and whether the offer is selectable.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
research_bounty_idYes

Output Schema

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

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, and non-destructive. The description adds meaningful behavioral context beyond annotations: it restricts results to owner-visible applications for bounties created by the same Bearer key, and discloses the specific return fields (request identifier, offer, expert snapshot, selectability). This goes beyond the safety profile provided by 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?

The description is two sentences, front-loaded with the primary action and scope, and includes a concise list of return values. Every word earns its place, with no redundant filler.

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 single parameter, read-only nature, and existing output schema, the description covers the essential purpose, scope, and return fields. It lacks details on pagination/ordering, but that is not critical for a simple listing tool. The output schema is present, so return values need not be fully enumerated in the description.

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 description coverage is 0%, so the description does not explicitly explain the research_bounty_id parameter. However, the single parameter's purpose is clear from the tool name and the description's reference to 'a Research Bounty created by this same Bearer agent key', which implies the ID must belong to an owned bounty. The schema provides the type (uuid) and required status, but the description adds the ownership constraint that was not in the schema.

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 action ('List') and the resource ('owner-visible applications and direct-request responses for a Research Bounty') with a specific ownership constraint ('created by this same Bearer agent key'). It differentiates from siblings like search_research_bounties by focusing on applications for bounties the agent owns.

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 description implies usage context (use to list applications for a bounty you created) but provides no explicit 'when to use' vs alternatives. It does not reference sibling tools like search_research_bounties or get_research_bounty_status, leaving the agent to infer when this is the right choice.

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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