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mt_get_act

Read-onlyIdempotent

Fetch Maltese legislation metadata by ELI coordinate. Select output language from English or Maltese.

Instructions

Fetch Maltese document metadata by ELI coordinate.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
eliYesthe coordinate after ``/eli/`` (e.g. ``"cap/586"``, ``"act/2018/20"``, ``"const"``).
langNo``"eng"`` (default) or ``"mlt"``.eng

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
eliNo
titleNo
eli_uriNo
source_urlNo
legal_forceNo
dataset_noteNolegislation.mt serves consolidated Maltese law addressed by ELI coordinate: chapters (cap/{number}), the Constitution (const), subsidiary legislation (sl/{chapter}.{number}), Acts (act/{year}/{number}) and Legal Notices (ln/{year}/{number}). Metadata comes from the page's schema.org/ELI JSON-LD; the full text is only available as a PDF. There is no free-text search here - address documents by their ELI coordinate. Languages: English (eng) and Maltese (mlt).
date_modifiedNo
document_typeNo
legislation_dateNo
legislation_identifierNo
human_readable_citationNo
Behavior3/5

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

Annotations already declare readOnly, openWorld, idempotent, and non-destructive behavior, so the bar is lower. The description adds that this returns 'metadata' (not full text), which is useful behavioral context, but it does not disclose error handling or edge cases. Minimal additional value beyond 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?

A single, front-loaded sentence that immediately states the tool's purpose and method. No filler or redundancy; every word 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?

For a simple read-only tool with two well-documented parameters, an output schema, and strong annotations, this description is sufficient. It clearly states the core function, and the schema and annotations cover the remaining 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 clear explanations for both 'eli' and 'lang'. The description adds no parameter-specific meaning beyond what the schema already provides, so baseline 3 is appropriate.

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 uses a specific verb ('Fetch') and resource ('Maltese document metadata') and specifies the method ('by ELI coordinate'). It clearly distinguishes from the sibling mt_get_text, which likely retrieves full text rather than metadata.

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 implies the tool is for metadata retrieval, separate from the sibling text tool, but it does not explicitly state when to use this tool over alternatives or provide exclusions. Clear context is present, but no direct compare/contrast.

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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