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List done-for-you orders

list_dfy_orders
Read-only

Lists the workspace's done-for-you orders, newest first, each with status, cost breakdown and the ordered domains and mailboxes. Internal billing and provider records are never exposed.

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_dfy_orders"
  }
}

Input Schema

NameRequiredDescriptionDefault
pageNoPage number, starting at 1
limitNoPage size (default 50, max 200)

Schema Changelog

Changes observed during successful MCP inspections.

  1. 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"
  2. 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, openWorldHint=false and destructiveHint=false, so the safety profile is covered. The description adds useful non-annotation context — the newest-first ordering, the fields returned, and the guarantee that internal billing/provider records are never exposed — but says nothing about pagination behavior despite page/limit parameters.

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?

Two tight sentences with zero waste: the resource and ordering come first, then the returned payload and the privacy constraint. Every clause carries information.

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 output schema, the description correctly enumerates what comes back (status, cost breakdown, domains, mailboxes) and adds a data-exposure boundary. The only shortfall is silence on pagination/total counts for a paged list endpoint.

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 both parameters (page, limit) are documented in-schema with defaults and maxima. The description adds no parameter meaning, so the baseline 3 applies.

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?

Names a specific verb (Lists) and resource (done-for-you orders) scoped to 'the workspace's', so the agent knows this is a bulk listing rather than a single-record fetch. It does not explicitly name the singular get_dfy_order sibling as the alternative, which keeps it just short of a 5.

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?

Usage is implied by 'Lists ... newest first' — use it when you want the collection rather than one order. There is no explicit when-to-use/when-not statement and no stated alternative (e.g., use get_dfy_order for a single order), so the agent must infer the split.

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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