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AestheticsPro by Cotlet

Modify appointment in AestheticsPro

aestheticspro_modify_appointment
Read-onlyIdempotent

Modify appointment in the user's own AestheticsPro account from ChatGPT, Claude or any AI agent. Returns how to do it in AestheticsPro step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's AestheticsPro Cloud Browser. AestheticsPro's official API: AestheticsPro offers "Custom API solutions" only as custom work on its $350 a month Enterprise plan, arranged with AestheticsPro, and publishes no public API documentation or self-serve API key page (checked 11 Nov 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": "aestheticspro_modify_appointment"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior5/5

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

Adds substantial context beyond the annotations: the tool opens nothing by itself, returns human-readable screens/buttons/fields, and requires the cotlet_browser_* tools to actually apply the change. It also explains why browser automation is required (no public API, Enterprise-only custom API at $350/month), which is exactly the kind of motive an agent needs. This is consistent with readOnlyHint=true and destructiveHint=false.

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 with the action and its non-executing nature, followed by the execution path and the API rationale. The phrase "from ChatGPT, Claude or any AI agent" is marketing filler that could be cut, but overall the paragraph is dense and purposeful.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a zero-parameter guidance tool with no output schema, the description covers what is returned (step-by-step screens, buttons, fields), that no side effect occurs, and how to complete the task afterward. Nothing an agent needs to invoke and act on it correctly is missing.

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 and the schema is fully described, so there is nothing for the description to disambiguate beyond the resource. Baseline 4 applies for a no-parameter tool.

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 ("Modify appointment in the user's own AestheticsPro account") and clarifies the output is step-by-step guidance rather than an executed action. It does not name or distinguish itself from siblings like aestheticspro_create_appointment or aestheticspro_set_appointment_duration, so the boundary with those remains inferential.

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 routes the agent: call this to get instructions, then perform the action with the cotlet_browser_* tools in the Cloud Browser. That is clear workflow guidance with a named alternative for the execution step. It stops short of stating when NOT to use it (e.g. versus a create or duration tool).

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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