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fr_get_text

Read-onlyIdempotent

Retrieve the verbatim text of a French legal article using its LEGIARTI or KALIARTI identifier.

Instructions

Fetch the verbatim text of a single article (LEGIARTI... or KALIARTI...).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
article_idYesa ``LEGIARTI...`` identifier (from ``fr_get_act`` or a ``CODE`` search hit), or a ``KALIARTI...`` identifier (from ``fr_get_convention``).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
numNo
etatNo
textNo
eli_uriNo
date_finNo
eli_noteNoLegifrance lf-engine-app returns the ELI field null for legislation; 'eli_uri' is the stable CID-keyed legifrance.gouv.fr resource URL, not a synthesized /eli/ identifier.
byte_sizeNo
article_idNo
code_titleNo
date_debutNo
source_urlNo
full_sections_titreNo
human_readable_citationNo
Behavior4/5

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

Annotations already declare readOnlyHint and idempotentHint, so the description adds value by clarifying that the tool returns 'verbatim text' of a 'single article', indicating limited scope. No contradictions.

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 a single, clear sentence that conveys essential information without any superfluous words, demonstrating excellent conciseness and structure.

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?

Given the tool's simplicity (single parameter, read-only, idempotent) and the presence of an output schema, the description adequately covers the main behavior. It could optionally mention that the output is the actual article text, but not necessary.

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?

The single parameter article_id has 100% schema coverage, with the schema description detailing the identifier format and origin. The description adds no further parameter-level detail beyond the purpose, so baseline score 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 clearly states the tool fetches verbatim text of a single article and specifies the acceptable identifier patterns (LEGIARTI... or KALIARTI...), distinguishing it from sibling tools like fr_get_act or fr_get_convention which handle different objects.

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 usage context by mentioning identifiers come from fr_get_act or fr_get_convention, but does not explicitly state when to use this tool over alternatives or provide when-not-to-use guidance.

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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