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Zen Planner MCP Server and API by Cotlet

Book class in Zen Planner

zen_planner_book_class
Read-onlyIdempotent

Book class in the user's own Zen Planner account from ChatGPT, Claude or any AI agent. Returns how to do it in Zen Planner step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's Zen Planner Cloud Browser. Zen Planner's official API: Yes, but only for partners: Zen Planner has an API on the Daxko Partners portal, and its docs say "Contact your Daxko sales representative to request access" (checked 11 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": "zen_planner_book_class"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, and the description is consistent with that ('opens nothing by itself'). Beyond the annotations it adds genuinely useful context: the return value is a click-by-click guide, the actual action requires the Cloud Browser, and the official API is gated behind Daxko partner access. It does not say what happens if no browser session exists or if the user isn't signed in.

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?

Front-loaded and efficient: the correction about not actually booking appears in the first sentence, with the handoff to cotlet_browser_* right after. The closing API-access note is long-winded and half-tangential, but it does earn its place by explaining why the browser route is required.

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 zero-parameter, read-only, non-mutating tool with annotations covering the safety profile, the description supplies what matters: what it returns, that it changes nothing, and what to do next. The only real gap is preconditions such as an active Zen Planner Cloud Browser session or authenticated user.

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?

There are zero input parameters and schema coverage is 100%, so the baseline is 4. The description adds no parameter detail, and none is needed, though it also never says that the booking target (class, date, member) comes from prior tool output or conversation context rather than 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?

States a specific verb and resource (book a class in Zen Planner) and immediately corrects the biggest ambiguity a name like this creates: the tool does not perform the booking, it returns step-by-step instructions and 'opens nothing by itself'. It is clear what the tool produces, though it never contrasts itself with the sibling zen_planner_* actions that do mutate (enroll_in_membership, record_attendance).

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?

Gives the agent an explicit workflow: call this to get the screens/buttons/fields, then execute with the cotlet_browser_* tools in the Cloud Browser session. It also implicitly rules out direct API use by noting partner-only API access. It stops short of naming when a different zen_planner_* tool is the right choice instead.

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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