list_places
List countries, regions and cities that have TMS clinics.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List countries, regions and cities that have TMS clinics.
| 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, non-destructive and closed-world, so the safety profile is fully covered without the description. The description adds one useful behavioral fact beyond annotations: results are filtered to locations that actually have TMS clinics, not all geographies. That is the extent of the added context.
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 with the resource and its scope front-loaded. No filler, no redundancy.
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 zero-parameter, read-only enumeration tool with no output schema, the description covers the essential scope information. It does not describe the shape of the returned list (e.g., whether items are hierarchical or flat), but that is a minor omission for such a simple tool.
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; the baseline for a parameterless tool is 4. The description correctly implies the call needs no arguments.
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?
Specific verb (List) plus a precisely scoped resource (countries, regions and cities that have TMS clinics). It is clearly distinct from siblings like list_categories and list_sources, though it does not explicitly name them.
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 implied by the enumeration nature of the tool — an agent would reasonably call it to discover which geographies are available. However, there is no explicit when-to-use statement, no mention of related tools such as get_listing or search_listings, and no note about prerequisites.
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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