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Dart Kr

by io.github.pipeworx-io

Dart Major Shareholders

dart_major_shareholders
Read-onlyIdempotent

Korean 5%-rule (대량보유) disclosures for a company — every shareholder who has crossed the 5% beneficial-ownership threshold, with subsequent 1%+ changes. Returns shareholder name, holding type, shares held, stake percentage, change reason, report date. Equivalent to US 13D/13G but with a lower trigger threshold. Use for "who owns big stakes in $KR_COMPANY", activism tracking, follow-the-money on KOSPI filings.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
corp_codeYesRequired 8-digit DART corp identifier.

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, etc. Description adds context about regulatory threshold (5%) and equivalence to US filings, enhancing transparency.

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 sentences with no redundancy: first defines functionality and output, second gives usage context. Front-loaded and every sentence earns its place.

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

Completeness5/5

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

Given single parameter and safe read-only nature, description covers return fields, regulatory background, and use cases sufficiently despite lack of output schema.

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 for corp_code is already clear (8-digit DART identifier). Description does not add further details; baseline 3 due to 100% schema coverage.

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?

Clearly states it retrieves Korean 5%-rule disclosures for a company, specifies returned fields (shareholder name, holding type, shares, stake, change reason, report date), and compares to US 13D/13G. Distinct from sibling tools like dart_insider_holdings.

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?

Provides explicit use cases: 'who owns big stakes in $KR_COMPANY', activism tracking, follow-the-money on KOSPI filings. Lack of explicit when-not-to-use or alternative mentions is minor given clear context.

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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TDQS

A3.9/5.0
Disambiguation2/5

Multiple tools overlap heavily: ask_pipeworx_beta deliberately matches ask_pipeworx exactly right now, discover_tools and suggest_questions both serve as what-can-I-do entry points, and ai_visibility_check is just the single-entity version of scan_competitor_ai_presence. An agent will struggle to pick the right variant without carefully reading long descriptions.

Naming Consistency3/5

All tools are snake_case and several families share clear prefixes (dart_*, polymarket_*, ask_pipeworx_*), but the overall set mixes verb_noun (discover_tools, validate_claim), noun_phrase (entity_profile, deep_research), bare verbs (remember, recall, forget), and prefix-noun (dart_financials). Readable but not unified.

Tool Count2/5

36 tools is far above the 25+ heavy threshold, and the count is inflated by redundancy: ask_pipeworx_beta is a literal duplicate today, suggest_questions overlaps discover_tools, and ai_visibility_check is subsumed by scan_competitor_ai_presence. The broad Pipeworx platform justifies many tools, but the exposed surface is bloated.

Completeness4/5

The surface covers the apparent domain well: universal querying (ask_pipeworx family + deep_research), tool discovery, entity resolution, profiles, comparisons, change feeds, claim verification, Korean DART filings, Polymarket analysis/fill-risk, memory, subscriptions, and feedback. Minor gaps remain—there's no explicit fetch-by-citation-URI tool despite claims those URIs are fetchable, and no way to retrieve full DART filing text beyond discovery.

Resources