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MyShop - solutions for restaurants

Get solution details

get_solution

Get the details of one MyShop solution bundle by its slug (from list_solutions / recommend_solution).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesthe solution slug, e.g. ai-phone-delivery

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • removedInput schema / properties / language
      Removed value: -{
      -  "description": "ignored — every reply is in English (MyShop Grow USA)",
      -  "maxLength": 10,
      -  "type": "string"
      -}
  2. First observed

TDQS

A4.2/5.0
Behavior3/5

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

With no annotations, the description carries the full burden for behavioral disclosure. It does convey that this is a read-only lookup ('Get...details') and names the slug as the identifier, but it does not describe return contents, error behavior, or any side effects. For a simple fetch this is adequate, though not richly transparent.

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?

One compact sentence that front-loads the action and resource, with the crucial provenance note placed in a parenthetical. Every word earns its place and there is no filler.

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

Completeness4/5

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

For a one-parameter read-only lookup with no output schema, the description is nearly complete: it identifies the resource, the identifier, and where that identifier originates. It could say more about what the 'details' include, but the sibling names and the tool's purpose make this easy to infer.

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 schema already fully documents the slug (pattern, maxLength, example), so the baseline is 3. The description adds meaningful provenance — that the slug comes from list_solutions or recommend_solution — which helps an agent understand how to populate the parameter beyond what the schema states.

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 the exact operation ('Get the details'), the resource ('one MyShop solution bundle'), and the lookup key ('by its slug'). It is clearly distinguishable from the sibling list_solutions (detail vs. list) and get_agent (solution vs. agent), and the parenthetical source tools further locates its role.

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?

The description tells the agent where the slug comes from — list_solutions or recommend_solution — which establishes clear context for when to invoke this tool after those. It does not explicitly state 'use this instead of list_solutions when you need details of one item,' but the distinction is strongly implied.

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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