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tock-mcp

tock-mcp

by chrischall
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Local

tock_list_metros

Read-only

Get city/metro names, slugs, and business counts. Filter by name or country to find suitable locations for restaurant discovery.

Instructions

List Tock cities/metros (name, slug, business count, country/state). Use a metro slug with tock_search_restaurants. By default only metros with bookable venues are returned.

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": "tock_list_metros"
  }
}

Input Schema

NameRequiredDescriptionDefault
limitNoMax metros to return (default 100).
queryNoCase-insensitive filter on metro name or slug (e.g. "chic").
countryNoFilter by 2-letter country code (e.g. "US", "GB").
include_emptyNoInclude metros with businessCount 0 (default false).

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. Addedv0.2.3
  3. Removedv0.2.1
  4. First observedv0.2.0

TDQS

A4.1/5.0
Behavior3/5

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

Annotations already convey readOnlyHint=true and openWorldHint=true. The description adds a non-obvious behavioral default ('only metros with bookable venues are returned'), which is useful. However, it does not disclose other behavioral traits such as pagination behavior or what 'bookable' means, so it stays at a baseline acceptable level.

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?

Two sentences with no wasted words. The first sentence states the resource and output fields, while the second provides the key downstream relationship and default filtering behavior. Everything present earns its place.

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 list tool with no output schema, the description tells the agent what the tool returns, the default behavior, and how to proceed with the result. Parameter details are covered fully by the schema, so nothing essential 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%, so all four parameters (limit, query, country, include_empty) are already documented in the schema. The description adds no additional parameter-level meaning, so the baseline of 3 applies.

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 opens with a specific verb and resource ('List Tock cities/metros') and enumerates the returned fields (name, slug, business count, country/state). It also differentiates from the sibling tool by pointing to tock_search_restaurants as the downstream consumer of a metro slug.

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 clearly guides the agent to use the returned metro slug with tock_search_restaurants, establishing the tool's role in the workflow. It does not explicitly state when not to use it, but the context is clear enough for an agent to select it appropriately.

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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