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AnyList MCP Server and API by Cotlet

Create recipe in AnyList

anylist_create_recipe
Read-onlyIdempotent

Create recipe 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_create_recipe"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, and the description is consistent with them by saying the tool opens nothing by itself. Beyond the annotations it adds genuinely useful context: the return value is a screen/button/field walkthrough and execution requires the AnyList Cloud Browser. The absence of any public AnyList API note also preempts an agent hunting for one, though the oddly future 'checked 25 Oct 2026' date is noise.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The core behavior is front-loaded in the first two clauses, which is good. However, 'from ChatGPT, Claude or any AI agent' is filler, and the trailing sentence about AnyList's lack of an official API is meta-commentary that pads the definition without helping an agent invoke this specific tool.

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 rich annotations, the description carries what matters: what comes back (screens, buttons, fields), that nothing is executed, and which tools perform the action. It is complete enough to call correctly, with only minor ambiguity about the exact shape of the returned instructions.

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, so the baseline is 4. The description correctly implies no inputs are needed and instead directs attention to the follow-up browser tools that will carry the real arguments.

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 names a specific verb and resource (create recipe) but immediately reframes the real behavior: it returns step-by-step instructions and 'opens nothing by itself'. That reframing is essential because the tool name suggests a mutation, yet the description makes the actual output clear and distinguishes it from the cotlet_browser_* siblings that perform the action.

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 states the workflow explicitly: call this first to get the AnyList steps, then execute them with the cotlet_browser_* tools in the Cloud Browser. That is clear routing guidance. It stops short of naming when NOT to use it (e.g. versus anylist_read_recipe or anylist_add_recipe_to_meal_plan), so it is not a full when/when-not statement.

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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