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AnyList MCP Server and API by Cotlet

Add list item in AnyList

anylist_add_list_item
Read-onlyIdempotent

Add list item in the user's own AnyList account from ChatGPT, Claude or any AI agent. Returns how to do it in AnyList step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's AnyList Cloud Browser. AnyList's official API: AnyList has no public API, developer docs or official MCP server (checked 25 Oct 2026).

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": "anylist_add_list_item"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.1/5.0
Behavior5/5

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

The description adds the two facts an agent most needs beyond the annotations: the return value is procedural guidance (screens, buttons, fields) and the tool "opens nothing by itself" — consistent with readOnlyHint and explicitly preventing the agent from assuming a write occurred. It also explains the underlying constraint (no public AnyList API, docs, or MCP server), which justifies why a browser-driven workflow exists.

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?

Three sentences, front-loaded with the action and immediately qualified by what it actually returns. The trailing API-status sentence with a check date is defensible context for why the browser route is needed, but it is the least essential part and reads slightly like boilerplate.

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 no-parameter, no-output-schema guide tool with readOnly annotations, this covers what it returns, what it does not do, and what to call next. Prerequisites (having an AnyList account and a Cloud Browser session) are only implied by "the user's AnyList Cloud Browser," not stated as conditions.

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?

There are zero parameters, so the baseline is 4, but the description never explains the implied gap: a tool named "add list item" takes no item argument, and the reader is left to infer that the item is supplied later in the browser. That unaddressed mismatch is a real semantic hole.

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 concrete verb+resource ("Add list item in the user's AnyList account") and then corrects the likely misreading by clarifying it returns step-by-step instructions rather than performing the add. An agent can distinguish it from the cotlet_browser_* executors, though it never contrasts itself with the other anylist_add_* siblings (e.g., add_recipe_to_meal_plan).

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?

Explicitly sequences use: call this to obtain screens/buttons/fields, "then do it with the cotlet_browser_* tools." That gives a clear when and a clear handoff. It does not state when NOT to use it versus the other anylist_add_* tools, so it falls short of the top score.

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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