Skip to main content
Glama

Zovo Place Card Maker

Generate escort cards and table plan

generate_escort_cards
Read-onlyIdempotent

Use this when the user wants escort cards (flat cards that tell each guest their table, often with meal choice) or a printable table plan list from a guest list. Convert the guest list into guests (name, table, meal). Returns flat 3.5 x 2 in cards, 10 per Letter or A4 page (or 105 x 74 mm, 8 per A4), with crop marks, plus a table plan PDF grouped by table with meal counts. Up to 300 guests. Does not choose seats for guests.

Input Schema

NameRequiredDescriptionDefault
sizeNoCard size: "3.5x2" (default, US 3.5 x 2 in flat) or "a7" (105 x 74 mm flat, 8 per A4 page).
sortNotable (default when tables are given: by table, then name), alpha (by full name), last (by last name) or given (list order).
textNoFallback only: a pasted guest list, one guest per line, e.g. "Ana Kowalska, 1, Fish" or CSV with a Name,Table,Meal header. Prefer guests.
paperNoletter (default) or A4.
guestsNoThe guest list as objects. Convert a pasted list, a spreadsheet or a photo of a seating chart into these fields. Example: [{"name":"Ana Kowalska","table":1,"meal":"Fish"},{"name":"王芳","table":2}]. Up to 300 guests.
show_mealNoPrint the meal choice as a small tag. Default true when meals are given.
show_tableNoPrint the table number on the card. Default true when tables are given.
event_titleNoOptional small line on each card, e.g. "Emma & Liam · 12 June 2027" or "Thanksgiving 2026".

Output Schema

NameRequiredDescriptionDefault
kindYes
flagsYes
mealsYes
titleYes
countsYes
layoutYes
tablesYes
previewYes
downloadsYes
assumptionsYes
flags_countNo
meals_countNo
tables_countNo
preview_countNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior5/5

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

Annotations already declare readOnly/idempotent/non-destructive, and the description adds real behavior on top: output layout (3.5 x 2 in flat cards, 10 per Letter/A4 page, crop marks), a second artifact (table plan PDF grouped by table with meal counts), and a hard limit of 300 guests. It also discloses a transformation expectation ("Convert the guest list into guests") that the agent must perform before calling.

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?

The trigger condition is front-loaded, then outputs, then limits, in four dense sentences with no filler. "Convert the guest list into guests (name, table, meal)" mildly restates what the schema already spells out, costing a bit of tightness.

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?

For an 8-parameter, zero-required generation tool with a full schema, existing output schema, and read-only annotations, the description covers trigger, output artifacts, page geometry, guest cap, and the seat-assignment exclusion. Nothing an agent needs in order to call it correctly is missing.

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% and each parameter already carries its own enum-like options and defaults (size, sort, paper, show_meal, show_table, event_title), so the description's only added input signal is the guests-vs-text preference, which the schema itself already states. Baseline 3 applies when the schema does the heavy lifting.

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 and even defines the artifact: "escort cards (flat cards that tell each guest their table, often with meal choice) or a printable table plan list from a guest list." The scope boundary "Does not choose seats for guests" is a useful disambiguator, but the sibling generate_place_cards is never named, so the agent must infer the escort-vs-place-card distinction on its own.

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?

"Use this when the user wants escort cards ... or a printable table plan list from a guest list" gives an explicit when-to-use trigger, and "Does not choose seats for guests" states a clear exclusion. It stops short of naming the alternative tool (generate_place_cards) or describing when that one should be preferred instead.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources