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Skiddle MCP Server and API by Cotlet

Resend ticket receipts in Skiddle

skiddle_resend_ticket_receipts
Read-onlyIdempotent

Resend ticket receipts in the user's own Skiddle account from ChatGPT, Claude or any AI agent. Returns how to do it in Skiddle step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's Skiddle Cloud Browser. Skiddle's official API: Skiddle has a public events API, still in beta and for non-commercial use only, but no official MCP server (checked 31 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": "skiddle_resend_ticket_receipts"
  }
}

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?

Annotations already declare readOnly=true, idempotent=true, destructive=false, so the safety profile is covered. The description adds meaningful context beyond that: it states the tool 'opens nothing by itself' and describes the return format (screens, buttons, fields), which is the key behavioral fact an agent needs. The closing note about Skiddle's beta public API and lack of an official MCP server is contextual but not directly actionable for invoking this tool.

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 purpose and workflow are front-loaded and useful, but the description carries filler: the 'from ChatGPT, Claude or any AI agent' marketing phrasing and the final sentence about Skiddle's API status do not help an agent decide or invoke. Trimming these would sharpen the definition.

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 parameterless tool with no output schema, the description does the important work of explaining what comes back (step-by-step instructions) and how to act on it via browser tools. Combined with annotations covering safety, an agent has enough to call it correctly.

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?

With zero parameters and 100% schema coverage, the baseline is 4. There is nothing parameter-related for the description to add, and it correctly does not attempt to describe inputs.

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 identifies the specific task (resending ticket receipts in Skiddle) and, crucially, clarifies that the tool returns step-by-step instructions rather than performing the resend itself. This distinguishes it from a genuine mutation tool, though the opening phrasing 'Resend ticket receipts in the user's own Skiddle account' initially reads as if the tool executes the action, creating brief ambiguity before the clarification.

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 workflow guidance: call this to get the steps, then execute them with the cotlet_browser_* tools in the user's Skiddle Cloud Browser. That tells the agent both when to use it and what to do next. It lacks explicit exclusions or guidance on choosing among sibling Skiddle guide tools, 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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