Skip to main content
Glama
This connector has been deprecated

Superseded by the canonical Dim Hour connector at https://glama.ai/mcp/connectors/com.dimhour.mcp/dim-hour (same server on its branded domain).

List cities

list_cities
Read-only

List the 26 cities Dim Hour covers, with the city key to pass to the other tools.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
citiesYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedOutput schema / properties / cities / items / properties / kind / enum
      Previous value: -[
      -  "city",
      -  "region"
      -]New value: +[
      +  "city",
      +  "state"
      +]
  2. Changed4 schema fields changed
    • addedOutput schema / properties / cities / items / properties / children
      Added value: +{
      +  "items": {
      +    "type": "string"
      +  },
      +  "type": "array"
      +}
    • addedOutput schema / properties / cities / items / properties / kind
      Added value: +{
      +  "enum": [
      +    "city",
      +    "region"
      +  ],
      +  "type": "string"
      +}
    • addedOutput schema / properties / cities / items / properties / parent
      Added value: +{
      +  "type": "string"
      +}
    • changedOutput schema / properties / cities / items / required
      Previous value: -[
      -  "key",
      -  "name",
      -  "state"
      -]New value: +[
      +  "key",
      +  "name",
      +  "state",
      +  "kind"
      +]
  3. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "$schema": "http://json-schema.org/draft-07/schema#",
      +  "additionalProperties": false,
      +  "properties": {
      +    "cities": {
      +      "items": {
      +        "additionalProperties": false,
      +        "properties": {
      +          "key": {
      +            "type": "string"
      +          },
      +          "name": {
      +            "type": "string"
      +          },
      +          "state": {
      +            "type": "string"
      +          }
      +        },
      +        "required": [
      +          "key",
      +          "name",
      +          "state"
      +        ],
      +        "type": "object"
      +      },
      +      "type": "array"
      +    }
      +  },
      +  "required": [
      +    "cities"
      +  ],
      +  "type": "object"
      +}
  4. First observed

TDQS

A4.1/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is fully covered by structured data. The description adds the dataset's bounded scope (a fixed set of 26 cities), which is genuinely useful behavioral context, but says nothing about ordering, auth, or resumability — appropriate for a simple read-only list.

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?

A single sentence with zero filler, front-loading the action and immediately stating the practical payoff of the returned key. Nothing can be trimmed without losing information.

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 zero-parameter, read-only enumeration with an output schema present, the description supplies everything an agent needs: what is returned, how many entries, and how the result is consumed downstream. Return-format details are correctly left to the output schema.

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 zero parameters, so there is nothing to document; the baseline of 4 applies. The description correctly implies no input is needed to retrieve the full list.

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?

States a specific verb (List) and resource (cities Dim Hour covers), and adds scope plus the reason the output matters — the city key feeds the other tools. This clearly separates it from the venue-oriented siblings like list_curated, list_new_venues, and find_places.

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 phrase 'the city key to pass to the other tools' implies the intended workflow (call this first, then use the key elsewhere), which is useful implicit guidance. However, there is no explicit when-to-use/when-not statement or named alternative, so the guidance remains inferred rather than stated.

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