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list_products

Read-only

The workspace's sites (products in the API): each website or app that has its own form, keys and tickets. Includes each one's test and live key (safe to show in a page) and the simple form's words and colour.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "list_products"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds useful context beyond that: the response includes test and live keys and that those keys are 'safe to show in a page'. It does not mention permissions, pagination, or how many sites are returned, so the added behavioral value is moderate.

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?

A single sentence that front-loads the terminology mapping and then enumerates the meaningful contents, with no filler. It is dense but every clause (sites vs products, per-product keys, form wording/colour) carries information an agent would otherwise have to infer from the response.

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?

With no parameters, no output schema, and read-only safety already declared in annotations, the description covers what an agent needs to select and call the tool. Minor gaps remain around pagination or result-size expectations, but nothing critical is missing for a simple list operation.

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 zero parameters and the schema is empty, so there is nothing to disambiguate; the baseline for a parameterless tool applies. The description correctly signals that no inputs are needed by describing a whole-workspace enumeration.

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 (list) and resource, and helpfully maps the API term 'products' to the user-facing term 'sites', explaining that each is a website/app with its own form, keys and tickets. That makes it distinguishable from list_domains, list_tickets and get_workspace. It stops short of naming those siblings explicitly, so it is clear but not fully differentiated.

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 listing semantics are implied by the verb and the empty schema, and the definition of what a product is helps the agent know when the resource applies. However, there is no explicit when-to-use guidance and no mention of nearest alternatives such as list_domains, get_workspace, or get_site_health for per-site detail.

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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