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UpGrowth: business data for Algeria, Tunisia and Morocco

Get a Journal Officiel issue

get_jo_issue
Read-only

Get one issue of the Algerian Journal Officiel by year and number: the links to its official editions and, when UpGrowth holds it, its summary (sommaire): the date and, section by section, the official titles of the texts published in the issue. The summary exists only for some years and issues; otherwise data.sommaire is null and data.note says why. For Morocco (country MA) pass the number of the Bulletin officiel, a continuous series (for example 7522): you get its publication date, the link to its French edition and, in data.supplements, the supplements of that number (bis, ter); data.sommaire is always null, no Moroccan summary is held yet. For Tunisia (country TN) pass the number of the issue within the year (for example 97): you get its publication date and whether its French and Arabic editions exist, with no direct PDF link; data.sommaire is always null. Use it to find which texts an issue published.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
langNoLanguage of the labels, notes and attribution text in the answer: fr (French, the default), ar (Arabic) or en (English).fr
yearYesYear of the gazette: the Journal Officiel from 1962 for Algeria, the Bulletin officiel from 1912 for Morocco (country MA), the Journal Officiel de la République Tunisienne from 1956 for Tunisia (country TN). Find the years covered with list_jo_years.
numberYesNumber of the issue. Algeria: its number within the year, starting at 1. Morocco: the number of the Bulletin officiel, a continuous series, for example 7522. Tunisia: its number within the year, for example 97. Find the numbers with list_jo_issues.
countryNoCountry of the data, an ISO 3166-1 alpha-2 code in any letter case: DZ for Algeria, the default, TN for Tunisia or MA for Morocco. Only live countries answer: list_countries shows them and their datasets. Any other country, or a dataset the country does not have, returns country_not_available.DZ

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description still adds substantial behavioral context: summaries exist only for some years/issues, data.sommaire is null otherwise with data.note explaining why, Morocco returns supplements but never a sommaire, and Tunisia returns no direct PDF link. It does not cover rate limits or pagination, but for a read tool this is above bar.

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 core purpose and the sommaire caveat are front-loaded, and the country-specific paragraphs are genuinely useful. It is long and somewhat repetitive, repeating 'data.sommaire is always null' in two separate country blocks, which slightly dilutes the signal.

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?

There is no output schema, so the description carries the return-value burden and does so well: edition links, sommaire structure (date plus per-section titles), note, and Morocco's supplements. It omits what a failed lookup returns other than the schema-mentioned country_not_available, leaving a small gap for a lookup tool.

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%, so year, number, country and lang are already fully documented with ranges, defaults and per-country meaning. The description largely restates the same per-country number semantics (continuous series for MA, in-year number for TN) rather than adding syntax or format detail beyond the schema, so the baseline 3 applies.

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 opens with a specific verb and resource ('Get one issue of the Algerian Journal Officiel by year and number') and immediately scopes it to the links plus the sommaire contents. It is clearly distinguishable from siblings like list_jo_issues or search_jo_titles, which enumerate or search rather than retrieve a single issue.

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?

It gives the selecting condition ('Use it to find which texts an issue published') and per-country invocation rules, and the schema points to list_jo_years/list_jo_issues for discovery. It stops short of explicitly naming alternatives such as search_jo_titles or stating when not to call this tool, so it is clear context without 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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