list_cities
Every city KaleMap covers, with its slug and how many vegan-friendly places it has.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Every city KaleMap covers, with its slug and how many vegan-friendly places it has.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so safety and scope are covered. The description adds useful behavioral context by stating that the result is the complete city inventory and that each entry includes a slug and vegan-friendly place count. It does not mention pagination, but for a small closed list that is a minor omission.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
It is a single efficient sentence with the resource and returned fields front-loaded. Every phrase earns its place: coverage, slug, and count are all useful details.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple, parameterless, read-only list tool with no output schema, the description is complete enough: it states the scope, the returned identity field, and the associated place count. Combined with annotations covering safety, an agent has what it needs to call it correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
There are no parameters, so the baseline is 4. The description appropriately does not invent parameter details and instead focuses on what the parameterless call returns.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description gives a specific verb/resource pair: it lists every city KaleMap covers, and it states the returned fields (slug and vegan-friendly place count). This clearly distinguishes it from sibling tools such as city_vegan_places or search_places, which operate on places rather than the city inventory.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The phrase 'Every city KaleMap covers' implies this is the discovery endpoint for finding supported cities, but the description does not explicitly say when to use it versus city_vegan_places or search_places. Usage is inferable but not stated with alternatives or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.