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seongapark

OECD Stats MCP

by seongapark

oecd_list_indicators

Lists available OECD employment and labor indicators with their dataflow IDs. Use this first to discover which indicators can be queried.

Instructions

등록된 OECD 고용·노동 지표 목록과 각 지표의 dataflow ID를 반환한다. 어떤 지표를 물어볼 수 있는지 모를 때 가장 먼저 호출.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden. It discloses that the tool returns a list of indicators and dataflow IDs, which is helpful, but it doesn't mention things like read-only behavior, auth requirements, or output size. For a simple list tool this is adequate but not rich.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two short sentences, front-loads the purpose, and contains no fluff. Every word adds value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool is simple with 0 parameters and an output schema, so the description doesn't need to explain return values in depth. It mentions the key output (dataflow IDs) and use case. A bit more detail about how the list is ordered or filtered could help, but it's largely complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters, so the description doesn't need to explain parameter details. The baseline for 0 parameters is 4, and the description correctly focuses on the output rather than parameter semantics.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb 'list' and clearly identifies the resource: registered OECD employment/labor indicators. It also states the output (dataflow IDs), which clearly differentiates it from sibling tools like oecd_search_dataflow or oecd_raw_query.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly says to call this tool first when you don't know which indicators can be requested. This provides clear usage context, though it doesn't name specific alternative tools for exclusion.

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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