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RigorLoop Research Bounties

Get Submitted Expert Result

get_submitted_result
Read-onlyIdempotent

Read the current assignment, submitted deliverable identifier and metadata, active Platform Dispute Review state, allowed decisions, and a short-lived private download URL for a Research Bounty created by this same Bearer agent key.

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

A4.3/5.0
Behavior4/5

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

Annotations already declare the operation read-only and non-destructive, so the bar is lowered. The description adds meaningful context: the download URL is 'short-lived' and private, and it includes an ownership constraint. This goes beyond annotations without contradicting them.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single dense sentence that lists multiple pieces of information without redundancy. It is not as front-loaded as a two-sentence structure would be, but every clause contributes meaning and there is no 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 existence of an output schema, the description need not explain return values. It comprehensively lists the components of the result (assignment, deliverable, metadata, dispute state, allowed decisions, URL) and notes the short-lived nature of the URL. It does not mention error conditions or prerequisites, but the one-parameter, read-only nature makes it fairly complete.

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?

Schema coverage is 0%, so the description must compensate. It does so by implying that research_bounty_id refers to a bounty 'created by this same Bearer agent key', adding an ownership constraint not visible in the schema. However, it does not explicitly describe the parameter's format or provide examples beyond the schema's uuid format.

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 verb ('Read') and clearly identifies the resource ('submitted deliverable identifier and metadata', 'active Platform Dispute Review state', 'download URL') for a Research Bounty. It also distinguishes from sibling tools by scoping to bounties 'created by this same Bearer agent key', which is unique to this tool.

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 clearly conveys when to use the tool (to retrieve submission details after a bounty has been created and presumably after submission), but it does not explicitly mention alternatives or exclusions relative to siblings like get_research_bounty_status. The context is clear enough for an agent to infer appropriate usage.

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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