na_status
Check API connectivity by verifying authentication key presence and completing one real data-search request round trip.
Instructions
연결 점검 — 인증키 보유 여부 + 자료검색 API 실제 왕복 1회.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Check API connectivity by verifying authentication key presence and completing one real data-search request round trip.
연결 점검 — 인증키 보유 여부 + 자료검색 API 실제 왕복 1회.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
v0.1.1Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint and openWorldHint, so the safety profile is known. The description adds useful behavioral context: it discloses that the tool performs an actual network round trip and verifies authentication-key possession. This goes beyond the annotations, though it stops short of explaining failure modes or side effects like potential latency.
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?
The description is a single front-loaded sentence that conveys the core purpose and key behavioral nuance without any filler. Every token earns its place.
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 health check this is mostly adequate: the agent knows what is checked and that a network call occurs. However, there is no output schema and the description does not indicate what the response looks like or how to interpret the result, leaving a notable gap.
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 has zero parameters, so the empty schema fully covers all parameters. The description does not need to explain parameter meanings; the baseline of 4 applies because no parameter ambiguity exists.
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 action — 'connection check' — with concrete scope: whether an authentication key is held and one actual round trip to the data-search API. This clearly distinguishes it from sibling data-retrieval tools like na_search or na_detail.
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 implies usage as a connectivity/health check before other API calls, but it does not explicitly state when to use it versus alternatives, nor does it mention any exclusions. The purpose is clear enough to infer the context, but no direct guidance is provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/rubatoyd/na-openapi-mcp'
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