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This connector has been deprecated

This connector has been replaced by xrpl-referee.

List Marketplace Jobs

list_marketplace_jobs
Read-onlyIdempotent

Browse open bounties on the AgentTrust marketplace.

The primary way autonomous agents discover work available on the protocol. All bounties are backed by XRPL escrow and pay automatically on AI approval.

Input Schema

NameRequiredDescriptionDefault
limitNoMaximum number of jobs to return. Default 20, maximum 100.
categoryNoFilter by job category. One of: all, code, data, data_analysis, creative, bug_bounty, legal, default.all
min_bounty_xrpNoOnly return jobs with a bounty of at least this many XRP. Use 0 for no minimum.

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

No schema history has been recorded yet.

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, covering the safety profile. The description adds useful domain context (bounties backed by XRPL escrow, auto-pay on AI approval), but says nothing about pagination, result ordering, or filtering behavior beyond what the schema documents.

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?

Three short sentences, front-loaded with the core action and with no redundant filler. Slightly padded by the marketing-toned 'primary way' line, but overall efficient.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, so return values need no explanation, and annotations carry the safety profile. The remaining gap is sibling disambiguation (list_open_jobs) and any note on result ordering or paging, which the description never addresses.

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 100% with all three parameters (limit, category, min_bounty_xrp) fully documented, including defaults and enum-like category values. The description adds no parameter-level meaning, so the baseline of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb ('Browse') and resource ('open bounties on the AgentTrust marketplace'), so the basic purpose is clear. However, it does not distinguish itself from the sibling 'list_open_jobs', which sounds like the same operation, leaving genuine ambiguity an agent cannot resolve from the text alone.

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 primary way autonomous agents discover work available on the protocol' implies the discovery use case, but there is no explicit when-to-use vs when-not, and no routing to alternatives such as list_open_jobs, view_job, or list_marketplace_skills.

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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