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DaySmart MCP Server and API by Cotlet

Export sales in DaySmart

daysmart_export_sales
Read-onlyIdempotent

Export sales in the user's own DaySmart account from ChatGPT, Claude or any AI agent. Returns how to do it in DaySmart step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's DaySmart Cloud Browser. DaySmart's official API: DaySmart Salon and DaySmart Pet have no public API (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": "daysmart_export_sales"
  }
}

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?

The annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true and openWorldHint=false, so the safety profile is covered. The description adds real value beyond that: it clarifies that the tool produces instructions, performs no action, and notes that DaySmart Salon and DaySmart Pet have no public API as of a stated date. The dated verification claim is exactly the kind of context an agent cannot get from structured fields.

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 constraint (returns a guide, opens nothing) is front-loaded well, but the opening clause 'from ChatGPT, Claude or any AI agent' is marketing filler that adds nothing for tool selection. The trailing fragment 'DaySmart's official API:' is an incomplete sentence that reads as an editing artifact.

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, instruction-returning tool with no output schema, the description covers what matters: what it returns (screens, buttons, fields), what it does not do, and which tools carry out the steps. Slightly more detail on the shape or scope of the returned guide would make it fully self-sufficient.

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 there is no parameter meaning to convey and the baseline of 4 applies. The description correctly does not invent parameter discussion.

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 (export sales in DaySmart) and immediately corrects the likely misunderstanding by stating it returns step-by-step instructions and 'opens nothing by itself.' It also distinguishes itself from the browser tools it hands off to. It falls short of a 5 only because the tool name implies the export is performed, and the description has to spend a clause undoing that impression.

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 clearly states the usage context: call this to get the procedure, then execute it with the cotlet_browser_* tools in the user's DaySmart Cloud Browser. That is actionable sequencing rather than bare implication. It offers no explicit exclusion against related tools like cotlet_app_guide, which keeps it from a 5.

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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