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Milanote MCP Server and API by Cotlet

Trash cards

trash_cards
Destructive

Move cards or sub-boards to the trash, as the Delete key does. The cards leave the board for everyone who can see it, and a trashed sub-board takes its contents with it. Nothing is gone for good: list_trash shows them and restore_card puts one back where it was, until the trash is emptied in Milanote. By default you confirm each call; you can switch that off for this tool. Waits for the owner's approval.

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": {
      "board_id": "<board_id>",
      "card_ids": "<card_ids>"
    },
    "name": "trash_cards"
  }
}

Input Schema

NameRequiredDescriptionDefault
board_idYesBoard ID from list_boards, or the board URL.
card_idsYes1 to 50 card IDs from get_board; a sub-board's board_id works too.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior5/5

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

The description adds substantial behavior beyond the annotations: cards disappear for everyone who can see the board, sub-boards take contents with them, and items remain recoverable until the trash is emptied in Milanote. It also discloses confirmation and owner-approval behavior, complementing destructiveHint and openWorldHint without contradiction.

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?

The purpose is front-loaded, and the following sentences add useful recovery and confirmation context. It is somewhat longer than necessary because the confirmation and owner-approval sentences overlap slightly, but no sentence is wasted.

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?

For a destructive mutation with a fully documented two-parameter schema and no output schema, the description covers the important operational context: scope of deletion, recoverability path, and approval/confirmation behavior. Nothing critical 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 coverage is 100%, with board_id and card_ids fully documented in the input schema. The description reinforces that sub-boards can be trashed, but it does not add syntax or constraints beyond what the schema already provides, so baseline 3 is appropriate.

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?

The description states a specific verb and resource: "Move cards or sub-boards to the trash." It distinguishes the operation from permanent deletion by explaining recoverability via list_trash and restore_card, so an agent can identify its role among siblings.

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?

It clearly frames usage as equivalent to pressing Delete and names recovery alternatives (list_trash, restore_card). It lacks an explicit when-not clause, but the deletion context and recoverability guidance are strong.

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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