AestheticsPro by Cotlet

View communication dashboard in AestheticsPro

aestheticspro_view_communication_dashboard

Read-onlyIdempotent

View communication dashboard 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_view_communication_dashboard"
  }
}

Input Schema

Name	Required	Description	Default
No arguments

Schema Changelog

Changes observed during successful MCP inspections.

First observedNov 12, 2026

TDQS

A3.7/5.0

Behavior4/5

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

Beyond the annotations (readOnly, idempotent, non-destructive, closed-world), it discloses the return shape (step-by-step screens, buttons, fields) and that nothing is opened automatically — a genuinely useful behavioral fact. The API-availability note further clarifies that no programmatic route exists, though it is more context than behavior.

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 operation and the follow-up browser step, both valuable. The trailing Enterprise-plan/API-availability paragraph is long and only loosely relevant to invoking the tool, costing some efficiency.

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, no-output-schema guidance tool, the description covers what it returns, that it takes no action, and how to proceed afterward. The relationship to sibling dashboard tools is the main thing left implicit.

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?

Zero parameters and 100% schema coverage, so the baseline is high; the description adds nothing parameter-wise because there is nothing to parameterize, which is appropriate.

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 ("View communication dashboard") and clarifies scope ("in the user's own AestheticsPro account"). It doesn't differentiate from close siblings like view_email_and_sms_engagement, but the purpose is unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description tells the agent how to act after calling (use cotlet_browser_* tools in the Cloud Browser) and makes clear the tool itself is informational only. However, it gives no explicit guidance on when to pick this dashboard versus the engagement/email siblings, leaving that inference to the agent.

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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