list_places
List countries, regions and cities that have garage specialists.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List countries, regions and cities that have garage specialists.
| 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, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered. The description adds only the filtering semantic that results are restricted to places with specialists; it says nothing about result ordering, hierarchy, pagination, or size, which are the traits an agent would still need.
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?
A single short sentence that front-loads the verb and resource with no filler. Nothing could be removed without losing meaning.
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?
With no parameters and no output schema, the description carries the burden of explaining the return shape, and it does not: it is unclear whether the response is a flat list of place names or a country→region→city hierarchy, nor whether counts or IDs accompany the names. That is the main gap for an agent that needs to reuse the values as filters.
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?
The tool takes zero parameters, so there is no parameter semantics to explain and the baseline of 4 applies. The description correctly does not invent argument behavior.
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 states a specific verb ('List') and a specific resource (countries, regions and cities with garage specialists), which distinguishes it from the sibling listing/search tools that return actual listings. It stops short of naming any sibling alternative, but the resource is unambiguous.
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?
Usage is only implied: an agent can infer this is a discovery/lookup tool for geographic filter values, likely a precursor to search_listings. There is no explicit statement of when to use it versus search_listings or get_stats, and no exclusions.
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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