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Find products

find_products
Read-onlyIdempotent

Find Replo-managed products for catalog, product-page, or checkout work. These are separate from products managed by Shopify or other integrations. If no Replo-managed products are found, tell the user they can connect Shopify from the Replo dashboard.

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": {
      "projectId": "<projectId>"
    },
    "name": "find_products"
  }
}

Input Schema

NameRequiredDescriptionDefault
limitNo
queryNo
cursorNo
projectIdYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • removedInput schema / $schema
      Removed value: -"https://json-schema.org/draft/2020-12/schema"
    • removedInput schema / properties / projectId / pattern
      Removed value: -"^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$"
  2. Changed1 schema field changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  3. First observed

TDQS

B3.3/5.0
Behavior4/5

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

Annotations already cover read-only, idempotent, non-destructive, and closed-world, so the bar is lower. The description adds genuine beyond-schema context: the tool only returns Replo-managed products, and the recommended user-facing action when the result is empty.

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?

Three short sentences with no filler, and the scope statement is front-loaded. Slightly redundant in restating 'products' twice, and it spends space on empty-state messaging while omitting pagination behavior.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, four zero-documented parameters, and pagination available via cursor/limit, the description should at least indicate the shape of the result (a list of products with a next cursor). Instead it covers only the data domain and an empty-state hint, leaving the calling contract underspecified.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

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

Schema description coverage is 0% across four parameters, and the description says nothing about projectId, query, limit, or cursor. An agent gets no hint that this is searchable or paginated (limit max 100, cursor-based), so the description fails to compensate for the undocumented 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?

States a specific verb ('Find') and resource ('Replo-managed products'), plus the use cases (catalog, product-page, checkout work). It also distinguishes the product set from Shopify-managed products, though it doesn't explicitly contrast with the singular get_product sibling.

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?

The description's exclusions are about data scope (not Shopify-managed products) rather than tool selection, so it doesn't say when to use this versus get_product, create_product, or update_product. The fallback instruction for empty results is helpful but is a post-call behavior, not a selection rule.

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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