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Perfect Venue MCP Server and API by Cotlet

List payments in Perfect Venue

perfect_venue_list_payments
Read-onlyIdempotent

List payments in the user's own Perfect Venue account from ChatGPT, Claude or any AI agent. Returns how to do it in Perfect Venue step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's Perfect Venue Cloud Browser. Perfect Venue's official API: Perfect Venue has one public API, the Leads API: a write-only endpoint that creates a lead from your own contact form, and only on the Enterprise plan (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": "perfect_venue_list_payments"
  }
}

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?

Adds real context beyond the annotations: it explicitly states it opens nothing and performs no browser action itself, which reinforces readOnlyHint=true and openWorldHint=false. The note that Perfect Venue's only public API is a write-only Leads API on the Enterprise plan explains why a browser-driven guide is needed for payments, setting accurate expectations. It stops short of describing the shape or granularity of the returned instructions.

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 workflow is front-loaded, but the second sentence is a semicolon-spliced run-on ("...opens nothing by itself; then do it with...") that takes a re-read to parse. "from ChatGPT, Claude or any AI agent" is filler, and the API note, while relevant, is longer than needed for a zero-parameter guide tool.

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 no parameters and no output schema, the description carries the burden and mostly meets it: it says what comes back (screens, buttons, fields) and what to do next. The remaining gap is that it does not describe the guide's coverage or any limits on what the returned steps assume about the account's plan or permissions.

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 no parameters, so there is no schema semantics for the description to extend. Baseline 4 applies; nothing in the description conflicts with the empty object schema.

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?

Names a specific verb and resource ("List payments in the user's own Perfect Venue account") and immediately clarifies that the tool returns step-by-step instructions rather than payment data, which prevents a costly misread of the name. It also distinguishes itself from the cotlet_browser_* tools by stating it "opens nothing by itself." The opening framing as a list operation is slightly at odds with the guide-like output, which keeps it from a 5.

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?

Gives a clear two-step workflow: call this to get screens/buttons/fields, then execute with cotlet_browser_* in the user's Perfect Venue Cloud Browser. It scopes usage to "the user's own Perfect Venue account," which rules out acting on other tenants. It does not mention sibling guide/list tools such as perfect_venue_list_events, so the agent must infer which guide fits a given request.

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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