get_stats
Get the number of published hospitals, places and categories, and when the data last changed.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Get the number of published hospitals, places and categories, and when the data last changed.
| 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, idempotentHint=true, destructiveHint=false and a closed world, so the safety profile is fully covered. The description usefully adds the data scope ('published' only) and that a last-changed timestamp is included, but says nothing about caching, rate limits or refresh behavior for that timestamp.
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?
One sentence, no filler, and the entity list plus the freshness clause are front-loaded. Nothing in the sentence could be dropped without losing information.
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 input parameters and no output schema, the description carries the burden of explaining return values, and it does so precisely: counts of published hospitals, places and categories plus the last-changed date. An agent can call this correctly with no further information.
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 document; baseline is 4. The description correctly implies the result is unfiltered global counts rather than something scoped by 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?
States a specific resource (counts of published hospitals, places and categories) plus a freshness datum (last change time). That content profile implicitly separates it from the list_*/search_* siblings, which return items rather than counts, though no sibling is named explicitly.
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 description never says when to reach for this tool instead of get_listing, list_categories, list_places or search_listings. The use case (aggregate overview vs. item retrieval) is only inferable from the return content.
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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