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sk_get_text

Read-onlyIdempotent

Retrieve the full text of a Slovak act by providing its year and number. Access consolidated versions or as-promulgated text for legal citation.

Instructions

Fetch the full text of a Slovak act (a consolidated version).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
yearYese.g. ``2018``.
numberYese.g. ``18``.
version_idNooptional - a date like ``"20240701"`` or ``"vyhlasene_znenie"`` (as-promulgated). Default: the current in-force version.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
yearNo
formatNotext/plain (extracted from the official Slov-lex HTML)
numberNo
contentNo
eli_uriNo
citationNo
eli_noteNoSlovakia implements ELI (Pillar I) but the static pages carry no machine-readable ELI metadata; eli_uri is the canonical Slov-lex ELI-style URL (slov-lex.sk/pravne-predpisy/SK/ZZ/{year}/{number}), the stable national identifier. The text is served from the static.slov-lex.sk mirror (source_url).
byte_sizeNo
source_urlNo
version_idNo
dataset_noteNoThe Slovak Collection of Laws (Zbierka zakonov) is served on static.slov-lex.sk, a JavaScript-free static mirror of the Slov-lex portal. Acts are addressed by year + number (e.g. 18/2018); each act has consolidated versions over time (sk_get_versions). Full text is the official HTML rendering of a version. There is no free-text search. Language: Slovak.
human_readable_citationNo
Behavior3/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description adds the specific 'consolidated version' context, which is useful, but otherwise provides no additional behavioral details such as return format or pagination.

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?

A single, concise sentence that is front-loaded and contains no filler. Every word contributes meaning.

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 read-only fetch tool with a robust schema and output schema present, the description is adequate. It clearly states the tool's purpose, though it could have explicitly connected to sibling tools for fuller selection context.

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 100%, with all three parameters (year, number, version_id) documented. The description's reference to 'full text' and 'consolidated version' indirectly supports the version_id parameter, but the schema already carries the explanatory burden, so the description adds little beyond the baseline.

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

Purpose4/5

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

The description states the tool fetches the full text of a Slovak act, specifically a consolidated version. This is a clear verb+resource+scope pairing that distinguishes it from likely sibling operations, though it does not explicitly name alternatives.

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?

No guidance is given on when to use this tool versus alternatives like sk_get_versions or sk_get_act. The implied use case is present but there are no explicit context, exclusions, or alternative recommendations.

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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