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fr_get_act

Read-onlyIdempotent

Retrieve a French law or decree using its LEGITEXT identifier. Optionally specify a version date to get the text in force at that time.

Instructions

Consult a LODA law or decree by its LEGITEXT... id.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNoversion date ``YYYY-MM-DD`` (default: today - the version in force now).
text_idYesa ``LEGITEXT...`` identifier (from ``fr_search`` on fond ``LODA``).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
cidNo
norNo
etatNo
titleNo
natureNo
eli_uriNo
text_idNo
articlesNo
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.
source_urlNo
num_parutionNo
date_parutionNo
date_fin_versionNo
date_debut_versionNo
human_readable_citationNo
Behavior3/5

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

Annotations already indicate readOnly, idempotent, and non-destructive behavior. The description adds no new behavioral details (e.g., error handling, rate limits). This is acceptable given the high annotation coverage.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single concise sentence that conveys the essential purpose with no wasted words. It could benefit from slightly more context but remains efficient.

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

Completeness3/5

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

The tool has a simple interface with 2 parameters and an output schema. The description is minimal but sufficient for an agent to understand the basic function. More details on behavior or output format would improve completeness.

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?

Both parameters are fully described in the input schema (100% coverage). The description adds no extra parameter semantics beyond what the schema provides, meeting the baseline expectation.

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 clearly states the tool consults a LODA law or decree by a LEGITEXT identifier, which distinguishes it from sibling search tools. However, it does not explicitly differentiate from other get tools like fr_get_text or fr_get_decision.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage when a LEGITEXT ID is available, and the parameter description hints at prior use of fr_search. But there is no explicit guidance on when to use this tool versus alternatives, nor any exclusions.

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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