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AI Promo Design

What can be printed

list_items
Read-onlyIdempotent

The items a design can go on: key, name, the blank it is printed on, price per piece, colors, sizes, and the print areas with their sizes in inches. Call this before quoting or when the customer asks what is available. Prices are per piece in US dollars; the first print area is in the price and each further area adds a per-piece charge shown here. Designing is free; nothing is charged until the customer orders on aipromodesign.com.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description adds genuinely useful behavioral/business context beyond that: prices are per piece in USD, the first print area is included while each additional area adds a per-piece charge, and nothing is charged until the customer orders. No contradiction with annotations.

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?

Front-loaded with the core answer (what items include) followed by usage timing and then pricing semantics. The three sentences are dense but each carries information; the pricing sentence is the longest and slightly heavy, keeping it from a 5.

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?

With zero parameters, no output schema, and full annotation coverage, the description carries the remaining burden of explaining what is returned and how pricing works — and it does both. An agent has everything needed to call it and interpret results.

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?

The tool takes no parameters, so the baseline is 4. The description usefully enumerates the fields the returned items carry (key, name, blank, price, colors, sizes, print areas with inch dimensions), which compensates for the absence of an output schema.

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 states concretely what the tool returns — the items a design can go on (key, name, blank, price per piece, colors, sizes, print areas) — which is more than a restatement of the name. It is distinguishable from siblings like quote_order and design_item through the 'call this before quoting' framing, though it never explicitly contrasts itself with design_item.

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?

It gives an explicit trigger and sequencing: 'Call this before quoting or when the customer asks what is available,' which routes the agent relative to quote_order. It stops short of naming alternatives or stating exclusions, so it is clear context without full when-not guidance.

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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