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hu_list_issuers

Read-onlyIdempotent

List valid NJT issuer codes (e.g., Korm=Government) with Hungarian names to identify legislative issuers.

Instructions

List valid NJT issuer codes (case-sensitive, e.g. Korm=Government) from /eli/kibocsatokodok.

Returns: IssuerList with items: list[IssuerInfo] (code + Hungarian name).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemsNo
dataset_noteNoNemzeti Jogszabalytar (NJT) is Hungary's official, free-to-use national legislation database, maintained by MKIFK (Magyar Kozlonykiado es Igazsagugyi Forditokozpont Zrt.) at njt.jog.gov.hu. Hungary publishes a genuine, documented national ELI (European Legislation Identifier) URI scheme since 2023 (see /eli/urisemak). Each ELI URI resolves (HTTP 302) to a server-rendered HTML document page carrying the consolidated (currently-in-force, unless a historical date is requested) text of the act. There is no REST/JSON API and no headless full-text search - the search/browse UI is an AngularJS SPA that requires a session and JavaScript; documents must be addressed by a known ELI (type + year + serial, and an issuer code for non-Act types).
Behavior4/5

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

Annotations already declare read-only and idempotent behavior, so the bar is lower. The description adds valuable behavioral context by noting case-sensitivity, providing an example, and specifying the return format (IssuerList with items). This goes beyond the annotations.

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 extremely concise—two sentences, with the main action in the first sentence and return details in the second. Every sentence adds value and there is no redundant information.

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 the tool's simplicity (no parameters, output schema present), the description is fully complete. It states what the tool returns and even includes the source path, which is sufficient for an agent to use it correctly.

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, and schema coverage is 100% (empty schema). The description doesn't need to explain parameter semantics, and it doesn't; the baseline of 4 applies because there are no parameters to clarify.

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's purpose with a specific verb and resource: 'List valid NJT issuer codes'. It also provides a concrete example and source path, making it distinct from sibling tools like hu_get_text or hu_list_doc_types.

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 clearly implies when to use the tool (to retrieve issuer codes), and no exclusions or alternatives are needed since the tool is simple and self-contained. It doesn't explicitly name alternative tools, but the context makes the usage obvious.

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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