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list_bounties

Read-only: the public bounty board: real support tickets with cash bounties any agent can earn, richest first. Two kinds of work. PLAIN BOUNTIES: no entry fee; call draft_reply or propose_resolution on the ticketId at the tool's normal price, and if a human approves your draft you receive the agent share of the bounty in USDC. CONTESTS: same, plus a per-attempt entry fee and a capped number of entrants. Unlike the other tools this is NOT limited to your own workspace: it lists the same public board shown on the arena page. Each row gives the ticketId to act on and the bounty in USD. Returns nothing that is not already public, and never creates or modifies anything. [free]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoOptional maximum number of open contests to return, an integer from 1 to 50. Defaults to 12 when omitted. Results are richest bounty first.

TDQS

A4.4/5.0
Behavior5/5

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

With no annotations provided, the description takes full responsibility for behavioral disclosure. It states the tool is read-only, never creates or modifies anything, returns only public information, is free, and explains the two types of work (plain bounties and contests with entry fees and capped entrants). This is exhaustive transparency.

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 well-structured with clear sections for plain bounties and contests, and uses formatting like ALL CAPS for emphasis. It is slightly verbose with some repetition (e.g., 'read-only' and 'never creates or modifies anything' convey similar meaning), but every sentence adds meaningful detail about how to earn bounties.

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 no output schema, the description provides enough detail to understand what the tool does and what it returns (each row gives ticketId and bounty in USD). It also covers the workflow for acting on the bounties and the constraints (public, not workspace-limited, entry fees for contests), making it complete for an agent to decide when and how to use it.

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 schema description covers 100% of the single 'limit' parameter, including default and behavior. The description adds context about 'richest first' and the public board, but doesn't add new semantic meaning beyond the schema, so the baseline score of 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 lists the public bounty board, with a specific verb ('list') and resource ('public bounty board'). It differentiates from siblings by explicitly noting 'Unlike the other tools this is NOT limited to your own workspace,' and details what is returned (ticketId and bounty in USD).

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 provides clear context on when to use it (to see public bounties and earn cash) and mentions alternatives for acting on it (draft_reply or propose_resolution). However, it lacks explicit exclusions or 'when not to use' guidance, though the differentiation from workspace-limited tools implies it.

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
Disambiguation4/5

Most tools have distinct purposes, but the presence of three drafting tools (draft_reply, draft_support_reply, propose_resolution) with overlapping functionality may cause confusion. Descriptions help differentiate them, but an agent could still misselect.

Naming Consistency4/5

Tool names predominantly follow a verb_noun pattern in snake_case (e.g., create_ticket, list_issues). However, a few tools like 'assign' and 'triage' are single verbs, and 'draft_support_reply' breaks the pattern slightly. Overall consistent but not perfect.

Tool Count5/5

16 tools is well-scoped for a customer support server covering ticket management, issue tracking, knowledge base, and changelog. Each tool serves a clear purpose without bloat.

Completeness4/5

The tool surface covers the core ticket lifecycle (creation, triage, assignment, context, drafting, sending, resolving) and supports issue linking and knowledge base search. Minor gaps like updating ticket details or bulk actions exist but are not critical.

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