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Glama

search_company

Find Korean companies on DART by English or Korean name, KRX ticker, or corp_code to identify the correct entity before retrieving disclosures; listed companies appear first.

Instructions

Find Korean companies on DART by English name, Korean name, KRX ticker, or corp_code.

Use this first when unsure which entity a name refers to (e.g. "Hyundai" matches dozens of group companies). Listed companies rank first.

Input Schema

NameRequiredDescriptionDefault
limitNo
queryYes
listed_onlyNo

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4/5.0
Behavior3/5

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

No annotations are provided, so the description carries the behavioral burden. It usefully discloses that listed companies rank first and that ambiguous names may match multiple entities, but it does not cover match semantics, no-result behavior, or other operational details beyond the ranking hint.

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?

Two short sentences, front-loaded with the core search capability and then the key usage guidance. Every sentence adds information without repetition.

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?

An output schema exists, so return-value details are not required in the description. For a simple three-parameter search tool with no annotations, the description covers the main query semantics and usage context, though the limit and listed_only parameters remain unexplained.

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

Parameters3/5

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

Schema description coverage is 0%, so the description must compensate. It does well for the required query parameter by naming accepted identifier formats, but it says nothing about limit or listed_only, leaving two of three parameters undocumented.

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 states a specific verb and resource: find Korean companies on DART. It lists the exact lookup forms (English name, Korean name, KRX ticker, corp_code), making the tool's scope immediately clear.

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?

It explicitly says to use this first when unsure which entity a name refers to, with a concrete ambiguity example. It lacks explicit when-not-to-use guidance or named alternatives, but the usage context is clear.

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