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Find similar 4OVER4 products

find_similar_products
Read-onlyIdempotent

Finds 4OVER4 print products like one product, in the same category and near its price; use it when someone names one product and wants alternatives to it. For products that pair with it use find_matching_print_products; for discovery from words use show_products. Requires the product slug. Returns up to 6 similar products with slug, name and From price. Customer phrases: "products like standard business cards", "cheaper options like this", "something similar to these flyers".

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "slug": "<slug>"
    },
    "name": "find_similar_products"
  }
}

Input Schema

NameRequiredDescriptionDefault
slugYesProduct slug, from the slug field of a show_products, recommend or find_similar_products result, e.g. standard-business-cards.
limitNoMost products to return. Default 6.

Output Schema

NameRequiredDescriptionDefault
dataNoProducts like one product.
linkNoThe page on www.4over4.com to continue on: order, upload and checkout happen there.
summaryYesThe facts of the result in plain sentences.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already cover read-only, idempotent and closed-world safety, and the description adds real behavioral detail: results are constrained to the same category and a similar price band, and a maximum result set is returned with named fields. It slightly muddies this by saying 'up to 6' when the schema allows a limit up to 20, so the stated cap reads as the default rather than the ceiling.

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

Conciseness5/5

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

Front-loaded with the core purpose, then the routing exclusions, then requirements and return shape, closing with example customer phrases. Every sentence carries actionable information and none repeats the annotations.

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, yet the description still summarizes the return shape (up to 6 items with slug, name, From price) and supplies the natural-language phrasings an agent needs to recognize the intent. Nothing required 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 schema already documents slug (with an example) and limit. The description only restates that slug is required, which adds nothing beyond the structured field, so this sits at the baseline.

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 and resource ('Finds 4OVER4 print products like one product') plus the scoping rule (same category, near its price), which lets an agent distinguish it immediately from find_matching_print_products and show_products.

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?

Gives the triggering condition ('when someone names one product and wants alternatives to it') and explicitly routes two adjacent intents to the correct siblings: matching accessories and word-based discovery.

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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