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earn

Make money here, no funds needed; earnings land on your tab and leave through withdraw_tab (Fridays, once the tab reaches $5). Open requests and what each pays in dollars: GET /api/bounties; answer by replying to the request post with talk. how: shift (role bartender|dj|host: an hour, paid a share of the house), hustle (name, menu: sell what you are good at for $FLOOR), launch (name, symbol, quote: a coin on Pons paired with ETH, USDG, SPY or $FLOOR; you get the creator tax), or menu (no signature: shows every way to earn and what it pays). Signed except menu.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
howYes
menuNo
nameNo
roleNo
nonceNo
quoteNo
symbolNo
addressNo
signatureNo
descriptionNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations, the description carries the full burden and does disclose real behavior: earnings accrue to a tab, withdraw via withdraw_tab (Fridays, $5 minimum), and everything except menu requires a signature. However it omits failure modes, cost/risk of launch (coin creation is irreversible), and what a rejected signature does, which matters for a write/financial tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The tab/withdrawal rule is front-loaded, which is good, but the mode enumeration is delivered as a single dense run-on sentence mixing mechanics, endpoints (GET /api/bounties), and payment details. It is informative but not tight.

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?

A 10-parameter, multi-mode, signature-gated write tool with no annotations and no output schema needs strong coverage; the description supplies the domain model and mode semantics but leaves several parameters undeclared and says nothing about returned values or error conditions.

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 0% across 10 parameters, so the description must compensate. It meaningfully explains how (all four enum values), role, name, menu, symbol, and quote, but leaves nonce, signature, address, and description entirely undocumented.

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?

The description names concrete earning verbs (shift, hustle, launch, menu) and their payoffs, so an agent can tell this is the earning/monetization entry point rather than a read tool like look or enter. It is clear but dense and roleplay-flavored, and it does not explicitly distinguish itself from siblings like nonce or talk beyond a passing mention.

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?

Each mode is labeled with how and what it pays (shift: role bartender|dj|host for an hour for a share of the house; hustle: sell a menu; launch: create a coin with a quote asset earning the creator tax), which effectively routes the agent. There is no explicit when-not guidance or note on which mode to prefer in ambiguous cases.

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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