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chrischall

tock-mcp

by chrischall

tock_get_availability

Read-only

Get a venue's bookable calendar: experiences, pricing, party sizes, cancellation policy, and open dates. Filter by date or party size; reserve on exploretock.com.

Instructions

Get a venue's bookable calendar: each experience (seating/menu) with its price, party sizes, cancellation policy, plus the dates and times the venue is open. Tock returns the full open-date/time set; pass a date to focus the summary. Reservations are prepaid tickets — this MCP does not book; open the venue on exploretock.com to reserve.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNoYYYY-MM-DD to center the calendar on (optional).
slugYesTock venue slug, e.g. "alinea" (the exploretock.com/{slug} segment).
party_sizeNoGuests — filters experiences to those accepting this size.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv1.0.0
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. First observedv0.2.0

TDQS

A4.5/5.0
Behavior4/5

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

Beyond the readOnlyHint and openWorldHint annotations, the description reveals important behavioral details: Tock returns the full open-date/time set by default, passing a date only focuses the summary, and no booking side effect occurs. The external reservation redirect adds practical context.

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?

Three sentences carry distinct, high-value information: what the tool returns, how the date parameter behaves, and the non-booking caveat. There is no filler or repetition of schema details.

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 a read-only availability tool with no output schema, the description adequately explains the return contents, the date behavior, and the reservation limitation. The party_size parameter is already fully described in the schema, so nothing critical is missing.

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?

Schema coverage is 100%, so the baseline is 3. The description adds extra meaning for the date parameter by explaining how it affects the output ('focus the summary') while noting the full set is still returned. This goes beyond the schema's simple 'center the calendar on' wording.

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 states a specific verb-object pair ('Get a venue's bookable calendar') and enumerates the returned content: experiences, prices, party sizes, cancellation policy, and open dates/times. This clearly distinguishes it from sibling tools like tock_get_restaurant or tock_list_reservations.

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 explains when the optional date parameter is useful ('pass a date to focus the summary') and explicitly warns that this MCP does not book, directing the agent to exploretock.com for reservations. It does not explicitly compare against sibling tools, but the usage context is clear.

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