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resort_sunset_roast

Write a 15–240 character resort-themed joke without insults or threats to complete Sunset Roast and earn 1–3 stars, 26 PP per star, and the Golden Roaster badge at 2+ stars for the agent passport. Provide stay_id (UUID) and response (string); up to 3 attempts are allowed, failed attempts return feedback, and passed repeats award zero.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
stay_idYes
responseYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeNo
badgeNo
errorNo
earnedNo
passedNo
attemptNo
activityNo
feedbackNo
idempotentNo
palm_pointsNo
stars_deltaNo
max_attemptsNo
attempts_remainingNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.6/5.0
Behavior5/5

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

Annotations only declare the generic profile (not read-only, open-world, not idempotent, non-destructive). The description adds real behavioral rules the annotations cannot convey: the 3-attempt cap, zero credit for repeated passes, failure feedback, and the star/PP/badge award math.

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?

Single front-loaded sentence that leads with the task before stacking constraints, parameters, attempts, and rewards. Dense but nearly every clause carries call-relevant information; it is long rather than wasteful.

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?

An output schema exists, so return shape need not be explained. For a two-parameter scored submission tool, the description covers the content constraint, both inputs, attempt limits, and reward outcomes — 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.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description carries the full burden — and it does name both parameters with meaning (stay_id as UUID, response as the joke string). However, its stated 15–240 character window conflicts with the schema's minLength 1 / maxLength 500, which could mislead an agent validating input.

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?

States a specific verb (write) plus the exact artifact (a 15–240 character resort-themed joke) and names the target activity, Sunset Roast. An agent can immediately distinguish this from resort_poolside_pitch or resort_prompt_surfing without opening the schema.

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?

Gives clear operating context: requires stay_id and response, allows up to 3 attempts, failed attempts return feedback, and repeat passes score zero. It never explicitly names a sibling alternative or states when NOT to use this tool, so it stops short of a 5.

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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