Skip to main content
Glama

RigorLoop Research Bounties

Search Research Bounties

search_research_bounties
Read-onlyIdempotent

Search the 200 most recently opened public, funded Research Bounties. Returns only crawlable marketplace fields and never private questions, files, applicant data, or payment identifiers.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fieldNoOptional exact field/category filter.
limitNo
queryNoOptional text matched against the public title, summary, field, and review type.
offsetNoZero-based offset within the bounded 200-Research-Bounty search window. Use nextOffset from the prior response.
minimum_bounty_centsNoOptional minimum expert reward in USD cents.

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?

The annotations already declare readOnly, openWorld, idempotent, and non-destructive hints. The description adds meaningful constraints: the bounded 200-item search window and the guarantee that private questions, files, applicant data, and payment identifiers are never returned. This goes beyond 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 core purpose, and contains no filler. It efficiently conveys scope and privacy limitations.

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?

With an output schema present, the description needn't detail return fields. It covers the key usage context (public, funded, most recent, bounded window) and explicitly states what is excluded. This is complete for a read-only search 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 description coverage is 80%, so most parameters are already documented. The description adds context about the 200-bounty window, which indirectly explains offset limits, but it doesn't elaborate on individual parameters further. Baseline 3 is appropriate.

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 searches the 200 most recently opened public, funded Research Bounties. It uses the specific verb 'Search' and names the resource, distinguishing it from sibling tools that create, fund, or manage bounties.

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 use for read-only discovery of public marketplace data, but does not explicitly state when to use it over alternatives or mention exclusions. It doesn't name sibling tools as substitutes, so guidance is mostly implicit.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

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.

Resources