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RigorLoop Research Bounties

Complete Private Research Bounty File Upload

complete_bounty_file_upload
Idempotent

Verify the uploaded object's exact size, normalized type, and SHA-256 checksum, then register it as a private source file visible only to the selected expert. Safe retries return the same registered file.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
upload_idYes
research_bounty_idYes

Output Schema

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

TDQS

A4.5/5.0
Behavior5/5

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

Beyond the annotations (idempotentHint, readOnlyHint=false, destructiveHint=false), the description adds rich behavioral context: it verifies size, type, and SHA-256 checksum, registers the file as private and visible only to the selected expert, and states that retries return the same registered file. This provides meaningful operational details that annotations alone do not cover. No contradiction with the 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 main action, and every word adds value. There is no fluff or repetition of schema details, and the retry behavior is stated concisely. This is well-structured and appropriately sized.

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 tool has an output schema and annotations, the description covers the key aspects: verification steps, privacy scope, and idempotency. It does not explain failure modes, but the output schema likely handles error responses. The workflow connection to prepare_bounty_file_upload is implied through the name and content, and the sibling list is available for additional context. This is sufficiently complete for the tool's complexity.

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 has 0% description coverage, so the description must compensate. It mentions 'uploaded object' (likely referring to upload_id) and 'selected expert' (contextually tied to research_bounty_id), but it does not explicitly map either parameter by name. The tool name and parameter names are self-explanatory, but the description adds only partial semantic clarity, leaving room for misinterpretation about which ID does what.

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 actions: 'Verify the uploaded object's exact size, normalized type, and SHA-256 checksum, then register it as a private source file...' This is a specific verb+resource combination that distinguishes it from sibling tools like prepare_bounty_file_upload, which focuses on preparation rather than completion. The title 'Complete Private Research Bounty File Upload' further reinforces the finalization role.

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 the tool is used to finalize a previously uploaded file by verifying and registering it, with a note that retries are safe. It does not explicitly mention when not to use it or name alternative tools, but the workflow context is clear from the 'Complete' title and the verification/registration verbs. This is better than merely implying usage, but lacks explicit exclusions.

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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