Fandango MCP

Render Seat Map

fandango_render_seat_map

Read-only

Render a Fandango seat map as Unicode boxes showing open (□) and taken (☒) seats. Options for style and open group detection.

Instructions

Read and render a Fandango seat map as terminal-friendly Unicode boxes. Uses □ for open seats and ☒ for taken seats.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "showtimeHashCode": "<showtimeHashCode>"
    },
    "name": "fandango_render_seat_map"
  }
}

Input Schema

Name	Required	Description
`style`	No	Terminal render style. Default: spaced.
`referer`	No	Optional browser page referer from captured traffic.
`maxOpenGroups`	No	Maximum open-seat groups to list.
`showtimeHashCode`	Yes	Fandango showtimeHashCode from a showtime result.
`includeOpenGroups`	No	Include best contiguous open-seat groups. Default: true.
`includeColumnLabels`	No	Include a column-number ruler above the map. Default: true.

Schema Changelog

Changes observed during successful MCP inspections.

First observedv0.1.0Jul 4, 2026

TDQS

A4.1/5.0

Behavior4/5

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

Annotations indicate readOnlyHint and openWorldHint. The description adds value by detailing the output (Unicode boxes, symbols for open/taken seats) and mentions the rendering style, going beyond structural metadata without contradicting annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences that front-load the core purpose and then provide specific output details. Every sentence adds value with no redundancy or fluff.

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?

Despite no output schema, the description sufficiently explains the return format (Unicode boxes with specific symbols). It covers key behaviors like open-seat groups and column labels, making it complete for a render tool.

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?

Schema description coverage is 100%, so the schema already documents all parameters. The tool description does not add individual parameter guidance but gives overall output context. Baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: 'Read and render a Fandango seat map as terminal-friendly Unicode boxes.' It specifies the output format and symbols used, distinguishing it from sibling tools that handle showtimes or availability.

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 does not explicitly guide when to use this tool versus alternatives, such as requiring a showtimeHashCode from a prior search. The usage context is implied by the required parameter and sibling names but not stated.

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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