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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. A number sent as a string is read as a number, and anything above 50 is treated as 50.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / limit / description
      Previous value: -"Optional maximum number of open contests to return, an integer from 1 to 50. Defaults to 12 when omitted. Results are richest bounty first."New value: +"Optional maximum number of open contests to return, an integer from 1 to 50. Defaults to 12 when omitted. Results are richest bounty first. A number sent as a string is read as a number, and anything above 50 is treated as 50."
  2. Added

TDQS

A4.6/5.0
Behavior5/5

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

With no annotations provided, the description carries the full burden and discharges it: it declares the read-only nature ('never creates or modifies anything'), the public-data scope, the workspace limitation difference, the payment model (agent share in USDC, per-attempt entry fees, capped entrants), and the return content (ticketId plus bounty in USD).

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 scoping constraint and value proposition are front-loaded, and the PLAIN/ CONTEST split is well organized. It is dense with fragments and parentheticals, but nearly every sentence conveys actionable information rather than filler.

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?

There is no output schema, so describing return values (rows with ticketId and bounty in USD) is necessary and provided. For a single-optional-parameter list tool with no annotations, nothing an agent needs to call it correctly is missing.

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% and the single 'limit' parameter is fully documented in-schema (range, default, string coercion, clamping). The description adds only the 'richest bounty first' ordering context, which is already echoed by the schema, so 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 states a specific verb and resource ('Read-only: the public bounty board: real support tickets with cash bounties any agent can earn, richest first') and immediately distinguishes the scope from siblings by noting it is 'NOT limited to your own workspace' unlike list_tickets. An agent can tell it apart from list_tickets without opening either schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It explicitly explains what to do with the results: act on the ticketId via draft_reply or propose_resolution, and explains the two work types (PLAIN BOUNTIES vs CONTESTS) with their differing economics. The condition that selects this tool over workspace-scoped siblings is stated outright.

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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