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MassageBook MCP Server and API by Cotlet

Find clients due back in MassageBook

massagebook_find_clients_due_back
Read-onlyIdempotent

Find clients due back in the user's own MassageBook account from ChatGPT, Claude or any AI agent. Returns how to do it in MassageBook step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's MassageBook Cloud Browser. MassageBook's official API: MassageBook publishes no API, webhooks or Zapier app; reports leave only as manual exports (checked 9 Nov 2026).

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds genuinely non-structured behavior: the tool opens nothing by itself and returns screens/buttons/fields as guidance, plus the absence of any MassageBook API surface. It does not describe the exact response format (plain text vs. structured steps), which holds it below a 5.

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 core behavior ('returns how to do it step by step, opens nothing by itself') is front-loaded, and the follow-up routing to cotlet_browser_* is stated immediately after. The trailing sentence about MassageBook's API is somewhat wordy and dated, but it does earn its place by explaining why this indirect workflow exists.

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 zero parameters, strong annotation coverage and no output schema, the description carries only the burden of explaining the return value and the workflow handoff, which it does. Minor gaps remain: the exact shape of the returned steps and what the agent should do if the browser session is not yet open are not addressed.

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 schema is an empty object with zero parameters, so the baseline is 4 and there is nothing for the description to disambiguate. The description correctly implies the tool takes no input, since it merely emits instructions.

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 resource and outcome ('find clients due back in the user's own MassageBook account') and then discloses the less obvious twist: the tool returns step-by-step instructions rather than the data itself. That distinguishes it from data-returning siblings such as massagebook_list_clients, though it never names a sibling explicitly to reinforce the contrast.

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 gives clear operational context: call this to get the how-to, then execute with the cotlet_browser_* tools in the MassageBook Cloud Browser. It also explains why no direct API route exists (no API, webhooks or Zapier; manual exports only), which implicitly rules out an API shortcut. There is no explicit when-not-to-use clause or named alternative.

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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