Skip to main content
Glama
y0mulab

japan-ir-search

by y0mulab

list_indexed_companies

Retrieve a list of indexed Japanese companies with EDINET and securities codes, filterable by company name. Use it to see which companies have available IR filings and their document counts.

Instructions

インデックス済み企業の一覧を取得します。

Args:
    query: 企業名フィルタ(部分一致、省略で全企業)
    limit: 最大件数

Returns:
    企業一覧(EDINETコード、証券コード、企業名、書類数)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
queryNo

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 burden of behavioral disclosure. It mentions it returns a list and specifies the return fields, but it does not explicitly state that it is a safe read-only operation, nor does it describe edge cases like sorting, pagination, or exact limit enforcement. Some context is added, but not comprehensive.

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 concise and well-structured, starting with a clear one-sentence purpose, followed by Args and Returns sections. Every line provides useful information without redundancy, making it easy to scan.

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?

For a simple tool with two optional parameters and an existing output schema, the description covers the core purpose and parameter semantics. However, it omits any usage guidance and does not mention behavioral limitations, making it slightly incomplete for an agent that must rely solely on this text.

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

Parameters5/5

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

The description adds rich meaning beyond the bare input schema. It explains that query is a partial-match filter on company name and that omitting it returns all companies, and that limit sets the maximum number of items. This is exactly what the schema lacks, making parameters self-explanatory.

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 clearly states the tool retrieves a list of indexed companies ('インデックス済み企業の一覧を取得します'), with a specific verb ('取得') and resource ('一覧'). It is distinct from sibling tools like search_filings and compare_sections by focusing on listing companies.

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

Usage Guidelines2/5

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

The description provides no explicit guidance on when to use this tool versus alternatives. It only explains the function and parameters, leaving usage context implied. No exclusions, prerequisite steps, or alternative scenarios are mentioned.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/y0mulab/japan-ir-search'

If you have feedback or need assistance with the MCP directory API, please join our Discord server