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Add a saved pick to my list

add_saved_item

Add a pick you can read, usually one from saved_items, to one of your own lists as a new pick. Carries the facts (title, link, place, type) and records where it was found; the note starts empty because the source curator's words are theirs. Does not change the source list or the save.

Input Schema

NameRequiredDescriptionDefault
listYesYour list slug or title. Call list_my_lists if unsure.
itemIdYesItem id from saved_items or get_list_items.
sourceListIdYesThe source list id for the appearance being copied.
idempotency_keyNoStable across retries so a lost response does not add the pick twice.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • addedInput schema / properties / sourceListId
      Added value: +{
      +  "description": "The source list id for the appearance being copied.",
      +  "type": "string"
      +}
    • changedInput schema / required
      Previous value: -[
      -  "itemId",
      -  "list"
      -]New value: +[
      +  "itemId",
      +  "sourceListId",
      +  "list"
      +]
  2. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare the tool is not read-only, not destructive, and open-world. The description adds useful behavior: it copies facts like title, link, place, and type, records where the pick was found, starts the note empty, and does not change the source list or save. It does not mention the idempotency key or failure behavior.

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?

The description is three compact sentences, front-loaded with the action and scope, followed by the key behavioral constraint. Every sentence contributes to understanding the operation.

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 annotations and fully described parameters, the description covers the core action, the copy semantics, and the note behavior. It is nearly complete, though it could mention retry/idempotency behavior or error conditions for an even fuller picture.

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%, so the schema already documents all four parameters. The description adds marginal meaning by explaining that facts are copied and source location is recorded, but it does not add param-level syntax or explain the optional idempotency_key beyond what the schema provides.

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?

The description states a specific verb and resource: adding a pick from saved_items into one of the user's own lists as a new pick. It clearly frames the operation as a copy rather than a save or source mutation, though it does not explicitly name sibling alternatives like add_item or save_item.

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 provides clear context for when to use the tool: when you have a readable pick, usually from saved_items, and want it in one of your own lists. It does not give explicit exclusions or alternatives, but the intended usage scenario is clear.

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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