korea_tide_stations
조위 관측소 목록(전국 42곳). korea_tide_times 의 station 인자에 쓴다.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| q | No | 이름 일부로 거르기 |
조위 관측소 목록(전국 42곳). korea_tide_times 의 station 인자에 쓴다.
| Name | Required | Description | Default |
|---|---|---|---|
| q | No | 이름 일부로 거르기 |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations exist, so the description carries the full burden. Saying 'list' plus the explicit scope of '42 nationwide' makes it clear this is a non-mutating retrieval operation and frames its output as station identifiers suitable for another tool. Lacking explicit mention of return fields is a minor gap.
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?
Two concise sentences with no filler. The first sentence states the resource and scope, and the second explains downstream usage.
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 optional-parameter list tool with no output schema, the description plus schema is nearly complete. It conveys the data scope and how results should be consumed, though it could more explicitly list the fields returned per station.
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 only parameter q is already fully documented in the schema as 'filter by part of name', so schema coverage is 100%. The description does not add extra semantic information about q itself; its note about the station argument relates to the output, not the parameter.
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 clearly identifies the resource ('tidal observation stations'), the scope ('42 nationwide'), and the operation (listing them). It further distinguishes itself from siblings by noting its purpose is to feed the station argument of korea_tide_times.
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 provides clear usage context: this tool supplies the station values to korea_tide_times. It does not explicitly contrast with alternative tools, but among the siblings only korea_tide_times consumes station arguments, so the guidance is sufficient.
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.