리포트 목록
list_reports리포트 코드 · 이름 · 종류, 조회 가능 기간, 데이터 점검 중인 리포트를 돌려줍니다. 맛보기 한도를 쓰지 않습니다. 다른 도구를 쓰기 전에 먼저 부르십시오.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_reports리포트 코드 · 이름 · 종류, 조회 가능 기간, 데이터 점검 중인 리포트를 돌려줍니다. 맛보기 한도를 쓰지 않습니다. 다른 도구를 쓰기 전에 먼저 부르십시오.
| 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 readOnly, idempotent, and non-destructive, so the safety bar is low. The description still adds two non-obvious facts: the call does not consume trial quota, and some returned reports are flagged as under data inspection.
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?
Three short sentences: what is returned, a cost caveat, then the call-ordering instruction. Front-loaded and every sentence carries distinct 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 output schema, the description takes on the burden of describing the return payload and does so by enumerating the main fields. It doesn't cover ordering or whether the list is paginated/complete, which is a minor gap for a zero-param listing call.
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 nothing for the description to disambiguate and the schema is trivially complete. Baseline 4 applies.
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 concrete verb (returns) and resource (reports) and enumerates what comes back: code, name, type, queryable period, and reports under data inspection. It's clearly a discovery/metadata tool, though it never names a sibling to contrast with.
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?
"Call this first before using other tools" gives explicit ordering guidance that an agent can act on directly. There are no when-not conditions or named alternatives, but for a bootstrap tool the forward guidance is the relevant part.
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.