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Agent meal

agent_meal

Agent Meal on Arc: using APEX tools serves the paying wallet an on-chain meal NFT (one per tool family per 30-day season, gas on us); five different dishes forge into a Chef's Special. Returns the rules, the current season and, if you pass a plate number, that plate. Free.

Input Schema

NameRequiredDescriptionDefault
plateNooptional: a plate (token) number to show

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.6/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden and does reasonably well: it discloses the season window (30-day), the one-per-tool-family limit, that gas is covered, and that the call itself is free. It stops short of stating that the call is side-effect free or how large the returned rules payload is, but the key behavioral constraints are surfaced.

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?

Compact and front-loaded with the mechanic, and the return-value clause comes last where an agent will look for it. Some flavor wording ('gas on us', "Chef's Special") is decorative but does encode real mechanics (gas subsidy, forging rule), so little is pure waste.

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?

For a single-optional-parameter read tool with no output schema, the description covers what comes back and the reward rules. What remains opaque is the domain vocabulary itself -- what a 'plate' or a forged 'dish' actually confers -- which matters if the agent is deciding whether earning meals is worth pursuing.

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 coverage is already 100% for the single optional 'plate' parameter, so the baseline is 3. The description adds modest meaning by clarifying that passing a plate number returns that plate's record while omitting it returns rules plus the current season, which is slightly more than the schema's 'a plate (token) number to show'.

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 final clause states concretely what the tool returns: the rules, the current season, and optionally a specific plate. That is a clear read/resource purpose rather than a tautology. It does not, however, distinguish itself from nearby siblings such as meal_curve or room_order_meal, so an agent must infer which one to call.

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?

Usage is only implied: the reader gathers that APEX tool usage earns meals and that this tool is where you look up the rules/season/plate. There is no explicit when-to-use, when-not-to-use, or named alternative, so routing between this and meal_curve or forge is left to the agent.

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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